<!DOCTYPE html>

<html>

<head>

<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />


<meta name="author" content="stuart" />

<meta name="date" content="2025-04-15" />

<title>subscript3_appendixmaterial.R</title>

<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
// be compatible with the behavior of Pandoc < 2.8).
document.addEventListener('DOMContentLoaded', function(e) {
  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
  var i, h, a;
  for (i = 0; i < hs.length; i++) {
    h = hs[i];
    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
    a = h.attributes;
    while (a.length > 0) h.removeAttribute(a[0].name);
  }
});
</script>
<script>/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),j=function(e,t){return e===t&&(l=!0),0},D={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},j=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&D.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(j),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(j).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function j(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(j(this,e||[],!1))},not:function(e){return this.pushStack(j(this,e||[],!0))},is:function(e){return!!j(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var D,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,D=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^([^.]*)(?:\.(.+)|)/;function we(){return!0}function Te(){return!1}function Ce(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function Ee(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Ee(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Te;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Se(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n&&n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,we)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=be.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=be.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click",we),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?we:Te,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Te,isPropagationStopped:Te,isImmediatePropagationStopped:Te,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=we,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=we,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=we,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Se(this,e,Ce),!1},trigger:function(){return Se(this,e),!0},_default:function(){return!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return Ee(this,e,t,n,r)},one:function(e,t,n,r){return Ee(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){S.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Le(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function He(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&Ae.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),He(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),De)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,qe),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(Ne,""),u,l))}return n}function Oe(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Le(o[r],a[r]);else Le(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Oe(this,e,!0)},remove:function(e){return Oe(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return He(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||je(this,e).appendChild(e)})},prepend:function(){return He(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=je(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!ke.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return He(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Pe=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Re=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},Me=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ie=new RegExp(ne.join("|"),"i");function We(e,t,n){var r,i,o,a,s=e.style;return(n=n||Re(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Pe.test(a)&&Ie.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function Fe(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,re.removeChild(e)),a}}))}();var Be=["Webkit","Moz","ms"],$e=E.createElement("div").style,_e={};function ze(e){var t=S.cssProps[e]||_e[e];return t||(e in $e?e:_e[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Be.length;while(n--)if((e=Be[n]+t)in $e)return e}(e)||e)}var Ue=/^(none|table(?!-c[ea]).+)/,Xe=/^--/,Ve={position:"absolute",visibility:"hidden",display:"block"},Ge={letterSpacing:"0",fontWeight:"400"};function Ye(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Qe(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Je(e,t,n){var r=Re(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=We(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Pe.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Qe(e,t,n||(i?"border":"content"),o,r,a)+"px"}function Ke(e,t,n,r,i){return new Ke.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=We(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Xe.test(t),l=e.style;if(u||(t=ze(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Xe.test(t)||(t=ze(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=We(e,t,r)),"normal"===i&&t in Ge&&(i=Ge[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ue.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Je(e,u,n):Me(e,Ve,function(){return Je(e,u,n)})},set:function(e,t,n){var r,i=Re(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Qe(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Qe(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Ye(0,t,s)}}}),S.cssHooks.marginLeft=Fe(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(We(e,"marginLeft"))||e.getBoundingClientRect().left-Me(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Ye)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Re(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=Ke).prototype={constructor:Ke,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=Ke.propHooks[this.prop];return e&&e.get?e.get(this):Ke.propHooks._default.get(this)},run:function(e){var t,n=Ke.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):Ke.propHooks._default.set(this),this}}).init.prototype=Ke.prototype,(Ke.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[ze(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=Ke.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=Ke.prototype.init,S.fx.step={};var Ze,et,tt,nt,rt=/^(?:toggle|show|hide)$/,it=/queueHooks$/;function ot(){et&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(ot):C.setTimeout(ot,S.fx.interval),S.fx.tick())}function at(){return C.setTimeout(function(){Ze=void 0}),Ze=Date.now()}function st(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ut(e,t,n){for(var r,i=(lt.tweeners[t]||[]).concat(lt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function lt(o,e,t){var n,a,r=0,i=lt.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=Ze||at(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:Ze||at(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=lt.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ut,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(lt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],lt.tweeners[n]=lt.tweeners[n]||[],lt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],rt.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ut(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?lt.prefilters.unshift(e):lt.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=lt(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&it.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(st(r,!0),e,t,n)}}),S.each({slideDown:st("show"),slideUp:st("hide"),slideToggle:st("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(Ze=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),Ze=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){et||(et=!0,ot())},S.fx.stop=function(){et=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},tt=E.createElement("input"),nt=E.createElement("select").appendChild(E.createElement("option")),tt.type="checkbox",y.checkOn=""!==tt.value,y.optSelected=nt.selected,(tt=E.createElement("input")).value="t",tt.type="radio",y.radioValue="t"===tt.value;var ct,ft=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?ct:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),ct={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=ft[t]||S.find.attr;ft[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=ft[o],ft[o]=r,r=null!=a(e,t,n)?o:null,ft[o]=i),r}});var pt=/^(?:input|select|textarea|button)$/i,dt=/^(?:a|area)$/i;function ht(e){return(e.match(P)||[]).join(" ")}function gt(e){return e.getAttribute&&e.getAttribute("class")||""}function vt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):pt.test(e.nodeName)||dt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,gt(this)))});if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,gt(this)))});if(!arguments.length)return this.attr("class","");if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,gt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=vt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=gt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+ht(gt(n))+" ").indexOf(t))return!0;return!1}});var yt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(yt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:ht(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var mt=/^(?:focusinfocus|focusoutblur)$/,xt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!mt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,mt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,xt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,xt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var bt=C.location,wt={guid:Date.now()},Tt=/\?/;S.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||S.error("Invalid XML: "+(n?S.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Ct=/\[\]$/,Et=/\r?\n/g,St=/^(?:submit|button|image|reset|file)$/i,kt=/^(?:input|select|textarea|keygen)/i;function At(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||Ct.test(n)?i(n,t):At(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)At(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)At(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&kt.test(this.nodeName)&&!St.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(Et,"\r\n")}}):{name:t.name,value:n.replace(Et,"\r\n")}}).get()}});var Nt=/%20/g,jt=/#.*$/,Dt=/([?&])_=[^&]*/,qt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Lt=/^(?:GET|HEAD)$/,Ht=/^\/\//,Ot={},Pt={},Rt="*/".concat("*"),Mt=E.createElement("a");function It(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Wt(t,i,o,a){var s={},u=t===Pt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Ft(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Mt.href=bt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:bt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(bt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Rt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Ft(Ft(e,S.ajaxSettings),t):Ft(S.ajaxSettings,e)},ajaxPrefilter:It(Ot),ajaxTransport:It(Pt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=qt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||bt.href)+"").replace(Ht,bt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Mt.protocol+"//"+Mt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Wt(Ot,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Lt.test(v.type),f=v.url.replace(jt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Nt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Tt.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Dt,"$1"),o=(Tt.test(f)?"&":"?")+"_="+wt.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+Rt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Wt(Pt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&S.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var Bt={0:200,1223:204},$t=S.ajaxSettings.xhr();y.cors=!!$t&&"withCredentials"in $t,y.ajax=$t=!!$t,S.ajaxTransport(function(i){var o,a;if(y.cors||$t&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Bt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var _t,zt=[],Ut=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=zt.pop()||S.expando+"_"+wt.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Ut.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Ut.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Ut,"$1"+r):!1!==e.jsonp&&(e.url+=(Tt.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,zt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((_t=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===_t.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=ht(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=Fe(y.pixelPosition,function(e,t){if(t)return t=We(e,n),Pe.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Xt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Xt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Vt=C.jQuery,Gt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Gt),e&&C.jQuery===S&&(C.jQuery=Vt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
</script>
<meta name="viewport" content="width=device-width, initial-scale=1" />
<style type="text/css">html{font-family:sans-serif;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:1px dotted}b,strong{font-weight:700}dfn{font-style:italic}h1{margin:.67em 0;font-size:2em}mark{color:#000;background:#ff0}small{font-size:80%}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-.5em}sub{bottom:-.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{height:0;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace,monospace;font-size:1em}button,input,optgroup,select,textarea{margin:0;font:inherit;color:inherit}button{overflow:visible}button,select{text-transform:none}button,html input[type=button],input[type=reset],input[type=submit]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{padding:0;border:0}input{line-height:normal}input[type=checkbox],input[type=radio]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0}input[type=number]::-webkit-inner-spin-button,input[type=number]::-webkit-outer-spin-button{height:auto}input[type=search]{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;-webkit-appearance:textfield}input[type=search]::-webkit-search-cancel-button,input[type=search]::-webkit-search-decoration{-webkit-appearance:none}fieldset{padding:.35em .625em .75em;margin:0 2px;border:1px solid silver}legend{padding:0;border:0}textarea{overflow:auto}optgroup{font-weight:700}table{border-spacing:0;border-collapse:collapse}td,th{padding:0}@media print{*,:after,:before{color:#000!important;text-shadow:none!important;background:0 0!important;-webkit-box-shadow:none!important;box-shadow:none!important}a,a:visited{text-decoration:underline}a[href]:after{content:" (" attr(href) ")"}abbr[title]:after{content:" (" attr(title) ")"}a[href^="javascript:"]:after,a[href^="#"]:after{content:""}blockquote,pre{border:1px solid #999;page-break-inside:avoid}thead{display:table-header-group}img,tr{page-break-inside:avoid}img{max-width:100%!important}h2,h3,p{orphans:3;widows:3}h2,h3{page-break-after:avoid}.navbar{display:none}.btn>.caret,.dropup>.btn>.caret{border-top-color:#000!important}.label{border:1px solid #000}.table{border-collapse:collapse!important}.table td,.table th{background-color:#fff!important}.table-bordered td,.table-bordered th{border:1px solid #ddd!important}}@font-face{font-family:'Glyphicons Halflings';src:url(data:application/vnd.ms-fontobject;base64,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);src:url(data:application/vnd.ms-fontobject;base64,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) format('embedded-opentype'),url(data:font/woff;base64,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) format('woff'),url(data:font/ttf;base64,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) format('truetype'),url(data:image/svg+xml;base64,<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
<svg xmlns="http://www.w3.org/2000/svg">
<metadata></metadata>
<defs>
<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
<font-face units-per-em="1200" ascent="960" descent="-240" />
<missing-glyph horiz-adv-x="500" />
<glyph horiz-adv-x="0" />
<glyph horiz-adv-x="400" />
<glyph unicode=" " />
<glyph unicode="*" d="M600 1100q15 0 34 -1.5t30 -3.5l11 -1q10 -2 17.5 -10.5t7.5 -18.5v-224l158 158q7 7 18 8t19 -6l106 -106q7 -8 6 -19t-8 -18l-158 -158h224q10 0 18.5 -7.5t10.5 -17.5q6 -41 6 -75q0 -15 -1.5 -34t-3.5 -30l-1 -11q-2 -10 -10.5 -17.5t-18.5 -7.5h-224l158 -158 q7 -7 8 -18t-6 -19l-106 -106q-8 -7 -19 -6t-18 8l-158 158v-224q0 -10 -7.5 -18.5t-17.5 -10.5q-41 -6 -75 -6q-15 0 -34 1.5t-30 3.5l-11 1q-10 2 -17.5 10.5t-7.5 18.5v224l-158 -158q-7 -7 -18 -8t-19 6l-106 106q-7 8 -6 19t8 18l158 158h-224q-10 0 -18.5 7.5 t-10.5 17.5q-6 41 -6 75q0 15 1.5 34t3.5 30l1 11q2 10 10.5 17.5t18.5 7.5h224l-158 158q-7 7 -8 18t6 19l106 106q8 7 19 6t18 -8l158 -158v224q0 10 7.5 18.5t17.5 10.5q41 6 75 6z" />
<glyph unicode="+" d="M450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-350h350q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-350v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v350h-350q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5 h350v350q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xa0;" />
<glyph unicode="&#xa5;" d="M825 1100h250q10 0 12.5 -5t-5.5 -13l-364 -364q-6 -6 -11 -18h268q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-100h275q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-174q0 -11 -7.5 -18.5t-18.5 -7.5h-148q-11 0 -18.5 7.5t-7.5 18.5v174 h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h125v100h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h118q-5 12 -11 18l-364 364q-8 8 -5.5 13t12.5 5h250q25 0 43 -18l164 -164q8 -8 18 -8t18 8l164 164q18 18 43 18z" />
<glyph unicode="&#x2000;" horiz-adv-x="650" />
<glyph unicode="&#x2001;" horiz-adv-x="1300" />
<glyph unicode="&#x2002;" horiz-adv-x="650" />
<glyph unicode="&#x2003;" horiz-adv-x="1300" />
<glyph unicode="&#x2004;" horiz-adv-x="433" />
<glyph unicode="&#x2005;" horiz-adv-x="325" />
<glyph unicode="&#x2006;" horiz-adv-x="216" />
<glyph unicode="&#x2007;" horiz-adv-x="216" />
<glyph unicode="&#x2008;" horiz-adv-x="162" />
<glyph unicode="&#x2009;" horiz-adv-x="260" />
<glyph unicode="&#x200a;" horiz-adv-x="72" />
<glyph unicode="&#x202f;" horiz-adv-x="260" />
<glyph unicode="&#x205f;" horiz-adv-x="325" />
<glyph unicode="&#x20ac;" d="M744 1198q242 0 354 -189q60 -104 66 -209h-181q0 45 -17.5 82.5t-43.5 61.5t-58 40.5t-60.5 24t-51.5 7.5q-19 0 -40.5 -5.5t-49.5 -20.5t-53 -38t-49 -62.5t-39 -89.5h379l-100 -100h-300q-6 -50 -6 -100h406l-100 -100h-300q9 -74 33 -132t52.5 -91t61.5 -54.5t59 -29 t47 -7.5q22 0 50.5 7.5t60.5 24.5t58 41t43.5 61t17.5 80h174q-30 -171 -128 -278q-107 -117 -274 -117q-206 0 -324 158q-36 48 -69 133t-45 204h-217l100 100h112q1 47 6 100h-218l100 100h134q20 87 51 153.5t62 103.5q117 141 297 141z" />
<glyph unicode="&#x20bd;" d="M428 1200h350q67 0 120 -13t86 -31t57 -49.5t35 -56.5t17 -64.5t6.5 -60.5t0.5 -57v-16.5v-16.5q0 -36 -0.5 -57t-6.5 -61t-17 -65t-35 -57t-57 -50.5t-86 -31.5t-120 -13h-178l-2 -100h288q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-138v-175q0 -11 -5.5 -18 t-15.5 -7h-149q-10 0 -17.5 7.5t-7.5 17.5v175h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v100h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v475q0 10 7.5 17.5t17.5 7.5zM600 1000v-300h203q64 0 86.5 33t22.5 119q0 84 -22.5 116t-86.5 32h-203z" />
<glyph unicode="&#x2212;" d="M250 700h800q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#x231b;" d="M1000 1200v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-50v-100q0 -91 -49.5 -165.5t-130.5 -109.5q81 -35 130.5 -109.5t49.5 -165.5v-150h50q21 0 35.5 -14.5t14.5 -35.5v-150h-800v150q0 21 14.5 35.5t35.5 14.5h50v150q0 91 49.5 165.5t130.5 109.5q-81 35 -130.5 109.5 t-49.5 165.5v100h-50q-21 0 -35.5 14.5t-14.5 35.5v150h800zM400 1000v-100q0 -60 32.5 -109.5t87.5 -73.5q28 -12 44 -37t16 -55t-16 -55t-44 -37q-55 -24 -87.5 -73.5t-32.5 -109.5v-150h400v150q0 60 -32.5 109.5t-87.5 73.5q-28 12 -44 37t-16 55t16 55t44 37 q55 24 87.5 73.5t32.5 109.5v100h-400z" />
<glyph unicode="&#x25fc;" horiz-adv-x="500" d="M0 0z" />
<glyph unicode="&#x2601;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -206.5q0 -121 -85 -207.5t-205 -86.5h-750q-79 0 -135.5 57t-56.5 137q0 69 42.5 122.5t108.5 67.5q-2 12 -2 37q0 153 108 260.5t260 107.5z" />
<glyph unicode="&#x26fa;" d="M774 1193.5q16 -9.5 20.5 -27t-5.5 -33.5l-136 -187l467 -746h30q20 0 35 -18.5t15 -39.5v-42h-1200v42q0 21 15 39.5t35 18.5h30l468 746l-135 183q-10 16 -5.5 34t20.5 28t34 5.5t28 -20.5l111 -148l112 150q9 16 27 20.5t34 -5zM600 200h377l-182 112l-195 534v-646z " />
<glyph unicode="&#x2709;" d="M25 1100h1150q10 0 12.5 -5t-5.5 -13l-564 -567q-8 -8 -18 -8t-18 8l-564 567q-8 8 -5.5 13t12.5 5zM18 882l264 -264q8 -8 8 -18t-8 -18l-264 -264q-8 -8 -13 -5.5t-5 12.5v550q0 10 5 12.5t13 -5.5zM918 618l264 264q8 8 13 5.5t5 -12.5v-550q0 -10 -5 -12.5t-13 5.5 l-264 264q-8 8 -8 18t8 18zM818 482l364 -364q8 -8 5.5 -13t-12.5 -5h-1150q-10 0 -12.5 5t5.5 13l364 364q8 8 18 8t18 -8l164 -164q8 -8 18 -8t18 8l164 164q8 8 18 8t18 -8z" />
<glyph unicode="&#x270f;" d="M1011 1210q19 0 33 -13l153 -153q13 -14 13 -33t-13 -33l-99 -92l-214 214l95 96q13 14 32 14zM1013 800l-615 -614l-214 214l614 614zM317 96l-333 -112l110 335z" />
<glyph unicode="&#xe001;" d="M700 650v-550h250q21 0 35.5 -14.5t14.5 -35.5v-50h-800v50q0 21 14.5 35.5t35.5 14.5h250v550l-500 550h1200z" />
<glyph unicode="&#xe002;" d="M368 1017l645 163q39 15 63 0t24 -49v-831q0 -55 -41.5 -95.5t-111.5 -63.5q-79 -25 -147 -4.5t-86 75t25.5 111.5t122.5 82q72 24 138 8v521l-600 -155v-606q0 -42 -44 -90t-109 -69q-79 -26 -147 -5.5t-86 75.5t25.5 111.5t122.5 82.5q72 24 138 7v639q0 38 14.5 59 t53.5 34z" />
<glyph unicode="&#xe003;" d="M500 1191q100 0 191 -39t156.5 -104.5t104.5 -156.5t39 -191l-1 -2l1 -5q0 -141 -78 -262l275 -274q23 -26 22.5 -44.5t-22.5 -42.5l-59 -58q-26 -20 -46.5 -20t-39.5 20l-275 274q-119 -77 -261 -77l-5 1l-2 -1q-100 0 -191 39t-156.5 104.5t-104.5 156.5t-39 191 t39 191t104.5 156.5t156.5 104.5t191 39zM500 1022q-88 0 -162 -43t-117 -117t-43 -162t43 -162t117 -117t162 -43t162 43t117 117t43 162t-43 162t-117 117t-162 43z" />
<glyph unicode="&#xe005;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104z" />
<glyph unicode="&#xe006;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429z" />
<glyph unicode="&#xe007;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429zM477 700h-240l197 -142l-74 -226 l193 139l195 -140l-74 229l192 140h-234l-78 211z" />
<glyph unicode="&#xe008;" d="M600 1200q124 0 212 -88t88 -212v-250q0 -46 -31 -98t-69 -52v-75q0 -10 6 -21.5t15 -17.5l358 -230q9 -5 15 -16.5t6 -21.5v-93q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v93q0 10 6 21.5t15 16.5l358 230q9 6 15 17.5t6 21.5v75q-38 0 -69 52 t-31 98v250q0 124 88 212t212 88z" />
<glyph unicode="&#xe009;" d="M25 1100h1150q10 0 17.5 -7.5t7.5 -17.5v-1050q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v1050q0 10 7.5 17.5t17.5 7.5zM100 1000v-100h100v100h-100zM875 1000h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5t17.5 -7.5h550 q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM1000 1000v-100h100v100h-100zM100 800v-100h100v100h-100zM1000 800v-100h100v100h-100zM100 600v-100h100v100h-100zM1000 600v-100h100v100h-100zM875 500h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5 t17.5 -7.5h550q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM100 400v-100h100v100h-100zM1000 400v-100h100v100h-100zM100 200v-100h100v100h-100zM1000 200v-100h100v100h-100z" />
<glyph unicode="&#xe010;" d="M50 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM50 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe011;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM850 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 700h200q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h200 q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5 t35.5 14.5z" />
<glyph unicode="&#xe012;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h700q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe013;" d="M465 477l571 571q8 8 18 8t17 -8l177 -177q8 -7 8 -17t-8 -18l-783 -784q-7 -8 -17.5 -8t-17.5 8l-384 384q-8 8 -8 18t8 17l177 177q7 8 17 8t18 -8l171 -171q7 -7 18 -7t18 7z" />
<glyph unicode="&#xe014;" d="M904 1083l178 -179q8 -8 8 -18.5t-8 -17.5l-267 -268l267 -268q8 -7 8 -17.5t-8 -18.5l-178 -178q-8 -8 -18.5 -8t-17.5 8l-268 267l-268 -267q-7 -8 -17.5 -8t-18.5 8l-178 178q-8 8 -8 18.5t8 17.5l267 268l-267 268q-8 7 -8 17.5t8 18.5l178 178q8 8 18.5 8t17.5 -8 l268 -267l268 268q7 7 17.5 7t18.5 -7z" />
<glyph unicode="&#xe015;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM425 900h150q10 0 17.5 -7.5t7.5 -17.5v-75h75q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5 t-17.5 -7.5h-75v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-75q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v75q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe016;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM325 800h350q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-350q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe017;" d="M550 1200h100q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM800 975v166q167 -62 272 -209.5t105 -331.5q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5 t-184.5 123t-123 184.5t-45.5 224q0 184 105 331.5t272 209.5v-166q-103 -55 -165 -155t-62 -220q0 -116 57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5q0 120 -62 220t-165 155z" />
<glyph unicode="&#xe018;" d="M1025 1200h150q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM725 800h150q10 0 17.5 -7.5t7.5 -17.5v-750q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v750 q0 10 7.5 17.5t17.5 7.5zM425 500h150q10 0 17.5 -7.5t7.5 -17.5v-450q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v450q0 10 7.5 17.5t17.5 7.5zM125 300h150q10 0 17.5 -7.5t7.5 -17.5v-250q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5 v250q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe019;" d="M600 1174q33 0 74 -5l38 -152l5 -1q49 -14 94 -39l5 -2l134 80q61 -48 104 -105l-80 -134l3 -5q25 -44 39 -93l1 -6l152 -38q5 -43 5 -73q0 -34 -5 -74l-152 -38l-1 -6q-15 -49 -39 -93l-3 -5l80 -134q-48 -61 -104 -105l-134 81l-5 -3q-44 -25 -94 -39l-5 -2l-38 -151 q-43 -5 -74 -5q-33 0 -74 5l-38 151l-5 2q-49 14 -94 39l-5 3l-134 -81q-60 48 -104 105l80 134l-3 5q-25 45 -38 93l-2 6l-151 38q-6 42 -6 74q0 33 6 73l151 38l2 6q13 48 38 93l3 5l-80 134q47 61 105 105l133 -80l5 2q45 25 94 39l5 1l38 152q43 5 74 5zM600 815 q-89 0 -152 -63t-63 -151.5t63 -151.5t152 -63t152 63t63 151.5t-63 151.5t-152 63z" />
<glyph unicode="&#xe020;" d="M500 1300h300q41 0 70.5 -29.5t29.5 -70.5v-100h275q10 0 17.5 -7.5t7.5 -17.5v-75h-1100v75q0 10 7.5 17.5t17.5 7.5h275v100q0 41 29.5 70.5t70.5 29.5zM500 1200v-100h300v100h-300zM1100 900v-800q0 -41 -29.5 -70.5t-70.5 -29.5h-700q-41 0 -70.5 29.5t-29.5 70.5 v800h900zM300 800v-700h100v700h-100zM500 800v-700h100v700h-100zM700 800v-700h100v700h-100zM900 800v-700h100v700h-100z" />
<glyph unicode="&#xe021;" d="M18 618l620 608q8 7 18.5 7t17.5 -7l608 -608q8 -8 5.5 -13t-12.5 -5h-175v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v375h-300v-375q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v575h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe022;" d="M600 1200v-400q0 -41 29.5 -70.5t70.5 -29.5h300v-650q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5h450zM1000 800h-250q-21 0 -35.5 14.5t-14.5 35.5v250z" />
<glyph unicode="&#xe023;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h50q10 0 17.5 -7.5t7.5 -17.5v-275h175q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe024;" d="M1300 0h-538l-41 400h-242l-41 -400h-538l431 1200h209l-21 -300h162l-20 300h208zM515 800l-27 -300h224l-27 300h-170z" />
<glyph unicode="&#xe025;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-450h191q20 0 25.5 -11.5t-7.5 -27.5l-327 -400q-13 -16 -32 -16t-32 16l-327 400q-13 16 -7.5 27.5t25.5 11.5h191v450q0 21 14.5 35.5t35.5 14.5zM1125 400h50q10 0 17.5 -7.5t7.5 -17.5v-350q0 -10 -7.5 -17.5t-17.5 -7.5 h-1050q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h50q10 0 17.5 -7.5t7.5 -17.5v-175h900v175q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe026;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -275q-13 -16 -32 -16t-32 16l-223 275q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z " />
<glyph unicode="&#xe027;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM632 914l223 -275q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5l223 275q13 16 32 16 t32 -16z" />
<glyph unicode="&#xe028;" d="M225 1200h750q10 0 19.5 -7t12.5 -17l186 -652q7 -24 7 -49v-425q0 -12 -4 -27t-9 -17q-12 -6 -37 -6h-1100q-12 0 -27 4t-17 8q-6 13 -6 38l1 425q0 25 7 49l185 652q3 10 12.5 17t19.5 7zM878 1000h-556q-10 0 -19 -7t-11 -18l-87 -450q-2 -11 4 -18t16 -7h150 q10 0 19.5 -7t11.5 -17l38 -152q2 -10 11.5 -17t19.5 -7h250q10 0 19.5 7t11.5 17l38 152q2 10 11.5 17t19.5 7h150q10 0 16 7t4 18l-87 450q-2 11 -11 18t-19 7z" />
<glyph unicode="&#xe029;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM540 820l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe030;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-362q0 -10 -7.5 -17.5t-17.5 -7.5h-362q-11 0 -13 5.5t5 12.5l133 133q-109 76 -238 76q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5h150q0 -117 -45.5 -224 t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117z" />
<glyph unicode="&#xe031;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-361q0 -11 -7.5 -18.5t-18.5 -7.5h-361q-11 0 -13 5.5t5 12.5l134 134q-110 75 -239 75q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5h-150q0 117 45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117zM1027 600h150 q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5q-192 0 -348 118l-134 -134q-7 -8 -12.5 -5.5t-5.5 12.5v360q0 11 7.5 18.5t18.5 7.5h360q10 0 12.5 -5.5t-5.5 -12.5l-133 -133q110 -76 240 -76q116 0 214.5 57t155.5 155.5t57 214.5z" />
<glyph unicode="&#xe032;" d="M125 1200h1050q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-1050q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM1075 1000h-850q-10 0 -17.5 -7.5t-7.5 -17.5v-850q0 -10 7.5 -17.5t17.5 -7.5h850q10 0 17.5 7.5t7.5 17.5v850 q0 10 -7.5 17.5t-17.5 7.5zM325 900h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 900h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 700h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 700h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 500h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 500h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 300h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 300h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe033;" d="M900 800v200q0 83 -58.5 141.5t-141.5 58.5h-300q-82 0 -141 -59t-59 -141v-200h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h900q41 0 70.5 29.5t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5h-100zM400 800v150q0 21 15 35.5t35 14.5h200 q20 0 35 -14.5t15 -35.5v-150h-300z" />
<glyph unicode="&#xe034;" d="M125 1100h50q10 0 17.5 -7.5t7.5 -17.5v-1075h-100v1075q0 10 7.5 17.5t17.5 7.5zM1075 1052q4 0 9 -2q16 -6 16 -23v-421q0 -6 -3 -12q-33 -59 -66.5 -99t-65.5 -58t-56.5 -24.5t-52.5 -6.5q-26 0 -57.5 6.5t-52.5 13.5t-60 21q-41 15 -63 22.5t-57.5 15t-65.5 7.5 q-85 0 -160 -57q-7 -5 -15 -5q-6 0 -11 3q-14 7 -14 22v438q22 55 82 98.5t119 46.5q23 2 43 0.5t43 -7t32.5 -8.5t38 -13t32.5 -11q41 -14 63.5 -21t57 -14t63.5 -7q103 0 183 87q7 8 18 8z" />
<glyph unicode="&#xe035;" d="M600 1175q116 0 227 -49.5t192.5 -131t131 -192.5t49.5 -227v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v300q0 127 -70.5 231.5t-184.5 161.5t-245 57t-245 -57t-184.5 -161.5t-70.5 -231.5v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50 q-10 0 -17.5 7.5t-7.5 17.5v300q0 116 49.5 227t131 192.5t192.5 131t227 49.5zM220 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460q0 8 6 14t14 6zM820 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460 q0 8 6 14t14 6z" />
<glyph unicode="&#xe036;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM900 668l120 120q7 7 17 7t17 -7l34 -34q7 -7 7 -17t-7 -17l-120 -120l120 -120q7 -7 7 -17 t-7 -17l-34 -34q-7 -7 -17 -7t-17 7l-120 119l-120 -119q-7 -7 -17 -7t-17 7l-34 34q-7 7 -7 17t7 17l119 120l-119 120q-7 7 -7 17t7 17l34 34q7 8 17 8t17 -8z" />
<glyph unicode="&#xe037;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6 l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238q-6 8 -4.5 18t9.5 17l29 22q7 5 15 5z" />
<glyph unicode="&#xe038;" d="M967 1004h3q11 -1 17 -10q135 -179 135 -396q0 -105 -34 -206.5t-98 -185.5q-7 -9 -17 -10h-3q-9 0 -16 6l-42 34q-8 6 -9 16t5 18q111 150 111 328q0 90 -29.5 176t-84.5 157q-6 9 -5 19t10 16l42 33q7 5 15 5zM321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5 t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238 q-6 8 -4.5 18.5t9.5 16.5l29 22q7 5 15 5z" />
<glyph unicode="&#xe039;" d="M500 900h100v-100h-100v-100h-400v-100h-100v600h500v-300zM1200 700h-200v-100h200v-200h-300v300h-200v300h-100v200h600v-500zM100 1100v-300h300v300h-300zM800 1100v-300h300v300h-300zM300 900h-100v100h100v-100zM1000 900h-100v100h100v-100zM300 500h200v-500 h-500v500h200v100h100v-100zM800 300h200v-100h-100v-100h-200v100h-100v100h100v200h-200v100h300v-300zM100 400v-300h300v300h-300zM300 200h-100v100h100v-100zM1200 200h-100v100h100v-100zM700 0h-100v100h100v-100zM1200 0h-300v100h300v-100z" />
<glyph unicode="&#xe040;" d="M100 200h-100v1000h100v-1000zM300 200h-100v1000h100v-1000zM700 200h-200v1000h200v-1000zM900 200h-100v1000h100v-1000zM1200 200h-200v1000h200v-1000zM400 0h-300v100h300v-100zM600 0h-100v91h100v-91zM800 0h-100v91h100v-91zM1100 0h-200v91h200v-91z" />
<glyph unicode="&#xe041;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe042;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM800 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-56 56l424 426l-700 700h150zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5 t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe043;" d="M300 1200h825q75 0 75 -75v-900q0 -25 -18 -43l-64 -64q-8 -8 -13 -5.5t-5 12.5v950q0 10 -7.5 17.5t-17.5 7.5h-700q-25 0 -43 -18l-64 -64q-8 -8 -5.5 -13t12.5 -5h700q10 0 17.5 -7.5t7.5 -17.5v-950q0 -10 -7.5 -17.5t-17.5 -7.5h-850q-10 0 -17.5 7.5t-7.5 17.5v975 q0 25 18 43l139 139q18 18 43 18z" />
<glyph unicode="&#xe044;" d="M250 1200h800q21 0 35.5 -14.5t14.5 -35.5v-1150l-450 444l-450 -445v1151q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe045;" d="M822 1200h-444q-11 0 -19 -7.5t-9 -17.5l-78 -301q-7 -24 7 -45l57 -108q6 -9 17.5 -15t21.5 -6h450q10 0 21.5 6t17.5 15l62 108q14 21 7 45l-83 301q-1 10 -9 17.5t-19 7.5zM1175 800h-150q-10 0 -21 -6.5t-15 -15.5l-78 -156q-4 -9 -15 -15.5t-21 -6.5h-550 q-10 0 -21 6.5t-15 15.5l-78 156q-4 9 -15 15.5t-21 6.5h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-650q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h750q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5 t7.5 17.5v650q0 10 -7.5 17.5t-17.5 7.5zM850 200h-500q-10 0 -19.5 -7t-11.5 -17l-38 -152q-2 -10 3.5 -17t15.5 -7h600q10 0 15.5 7t3.5 17l-38 152q-2 10 -11.5 17t-19.5 7z" />
<glyph unicode="&#xe046;" d="M500 1100h200q56 0 102.5 -20.5t72.5 -50t44 -59t25 -50.5l6 -20h150q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5h150q2 8 6.5 21.5t24 48t45 61t72 48t102.5 21.5zM900 800v-100 h100v100h-100zM600 730q-95 0 -162.5 -67.5t-67.5 -162.5t67.5 -162.5t162.5 -67.5t162.5 67.5t67.5 162.5t-67.5 162.5t-162.5 67.5zM600 603q43 0 73 -30t30 -73t-30 -73t-73 -30t-73 30t-30 73t30 73t73 30z" />
<glyph unicode="&#xe047;" d="M681 1199l385 -998q20 -50 60 -92q18 -19 36.5 -29.5t27.5 -11.5l10 -2v-66h-417v66q53 0 75 43.5t5 88.5l-82 222h-391q-58 -145 -92 -234q-11 -34 -6.5 -57t25.5 -37t46 -20t55 -6v-66h-365v66q56 24 84 52q12 12 25 30.5t20 31.5l7 13l399 1006h93zM416 521h340 l-162 457z" />
<glyph unicode="&#xe048;" d="M753 641q5 -1 14.5 -4.5t36 -15.5t50.5 -26.5t53.5 -40t50.5 -54.5t35.5 -70t14.5 -87q0 -67 -27.5 -125.5t-71.5 -97.5t-98.5 -66.5t-108.5 -40.5t-102 -13h-500v89q41 7 70.5 32.5t29.5 65.5v827q0 24 -0.5 34t-3.5 24t-8.5 19.5t-17 13.5t-28 12.5t-42.5 11.5v71 l471 -1q57 0 115.5 -20.5t108 -57t80.5 -94t31 -124.5q0 -51 -15.5 -96.5t-38 -74.5t-45 -50.5t-38.5 -30.5zM400 700h139q78 0 130.5 48.5t52.5 122.5q0 41 -8.5 70.5t-29.5 55.5t-62.5 39.5t-103.5 13.5h-118v-350zM400 200h216q80 0 121 50.5t41 130.5q0 90 -62.5 154.5 t-156.5 64.5h-159v-400z" />
<glyph unicode="&#xe049;" d="M877 1200l2 -57q-83 -19 -116 -45.5t-40 -66.5l-132 -839q-9 -49 13 -69t96 -26v-97h-500v97q186 16 200 98l173 832q3 17 3 30t-1.5 22.5t-9 17.5t-13.5 12.5t-21.5 10t-26 8.5t-33.5 10q-13 3 -19 5v57h425z" />
<glyph unicode="&#xe050;" d="M1300 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM175 1000h-75v-800h75l-125 -167l-125 167h75v800h-75l125 167z" />
<glyph unicode="&#xe051;" d="M1100 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-650q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v650h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM1167 50l-167 -125v75h-800v-75l-167 125l167 125v-75h800v75z" />
<glyph unicode="&#xe052;" d="M50 1100h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe053;" d="M250 1100h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM250 500h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe054;" d="M500 950v100q0 21 14.5 35.5t35.5 14.5h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5zM100 650v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000 q-21 0 -35.5 14.5t-14.5 35.5zM300 350v100q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5zM0 50v100q0 21 14.5 35.5t35.5 14.5h1100q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5z" />
<glyph unicode="&#xe055;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe056;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 1100h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 800h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 500h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 500h800q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 200h800 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe057;" d="M400 0h-100v1100h100v-1100zM550 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM267 550l-167 -125v75h-200v100h200v75zM550 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe058;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM900 0h-100v1100h100v-1100zM50 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM1100 600h200v-100h-200v-75l-167 125l167 125v-75zM50 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe059;" d="M75 1000h750q31 0 53 -22t22 -53v-650q0 -31 -22 -53t-53 -22h-750q-31 0 -53 22t-22 53v650q0 31 22 53t53 22zM1200 300l-300 300l300 300v-600z" />
<glyph unicode="&#xe060;" d="M44 1100h1112q18 0 31 -13t13 -31v-1012q0 -18 -13 -31t-31 -13h-1112q-18 0 -31 13t-13 31v1012q0 18 13 31t31 13zM100 1000v-737l247 182l298 -131l-74 156l293 318l236 -288v500h-1000zM342 884q56 0 95 -39t39 -94.5t-39 -95t-95 -39.5t-95 39.5t-39 95t39 94.5 t95 39z" />
<glyph unicode="&#xe062;" d="M648 1169q117 0 216 -60t156.5 -161t57.5 -218q0 -115 -70 -258q-69 -109 -158 -225.5t-143 -179.5l-54 -62q-9 8 -25.5 24.5t-63.5 67.5t-91 103t-98.5 128t-95.5 148q-60 132 -60 249q0 88 34 169.5t91.5 142t137 96.5t166.5 36zM652.5 974q-91.5 0 -156.5 -65 t-65 -157t65 -156.5t156.5 -64.5t156.5 64.5t65 156.5t-65 157t-156.5 65z" />
<glyph unicode="&#xe063;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 173v854q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57z" />
<glyph unicode="&#xe064;" d="M554 1295q21 -72 57.5 -143.5t76 -130t83 -118t82.5 -117t70 -116t49.5 -126t18.5 -136.5q0 -71 -25.5 -135t-68.5 -111t-99 -82t-118.5 -54t-125.5 -23q-84 5 -161.5 34t-139.5 78.5t-99 125t-37 164.5q0 69 18 136.5t49.5 126.5t69.5 116.5t81.5 117.5t83.5 119 t76.5 131t58.5 143zM344 710q-23 -33 -43.5 -70.5t-40.5 -102.5t-17 -123q1 -37 14.5 -69.5t30 -52t41 -37t38.5 -24.5t33 -15q21 -7 32 -1t13 22l6 34q2 10 -2.5 22t-13.5 19q-5 4 -14 12t-29.5 40.5t-32.5 73.5q-26 89 6 271q2 11 -6 11q-8 1 -15 -10z" />
<glyph unicode="&#xe065;" d="M1000 1013l108 115q2 1 5 2t13 2t20.5 -1t25 -9.5t28.5 -21.5q22 -22 27 -43t0 -32l-6 -10l-108 -115zM350 1100h400q50 0 105 -13l-187 -187h-368q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v182l200 200v-332 q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM1009 803l-362 -362l-161 -50l55 170l355 355z" />
<glyph unicode="&#xe066;" d="M350 1100h361q-164 -146 -216 -200h-195q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5l200 153v-103q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M824 1073l339 -301q8 -7 8 -17.5t-8 -17.5l-340 -306q-7 -6 -12.5 -4t-6.5 11v203q-26 1 -54.5 0t-78.5 -7.5t-92 -17.5t-86 -35t-70 -57q10 59 33 108t51.5 81.5t65 58.5t68.5 40.5t67 24.5t56 13.5t40 4.5v210q1 10 6.5 12.5t13.5 -4.5z" />
<glyph unicode="&#xe067;" d="M350 1100h350q60 0 127 -23l-178 -177h-349q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v69l200 200v-219q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M643 639l395 395q7 7 17.5 7t17.5 -7l101 -101q7 -7 7 -17.5t-7 -17.5l-531 -532q-7 -7 -17.5 -7t-17.5 7l-248 248q-7 7 -7 17.5t7 17.5l101 101q7 7 17.5 7t17.5 -7l111 -111q8 -7 18 -7t18 7z" />
<glyph unicode="&#xe068;" d="M318 918l264 264q8 8 18 8t18 -8l260 -264q7 -8 4.5 -13t-12.5 -5h-170v-200h200v173q0 10 5 12t13 -5l264 -260q8 -7 8 -17.5t-8 -17.5l-264 -265q-8 -7 -13 -5t-5 12v173h-200v-200h170q10 0 12.5 -5t-4.5 -13l-260 -264q-8 -8 -18 -8t-18 8l-264 264q-8 8 -5.5 13 t12.5 5h175v200h-200v-173q0 -10 -5 -12t-13 5l-264 265q-8 7 -8 17.5t8 17.5l264 260q8 7 13 5t5 -12v-173h200v200h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe069;" d="M250 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe070;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5 t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe071;" d="M1200 1050v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-492 480q-15 14 -15 35t15 35l492 480q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25z" />
<glyph unicode="&#xe072;" d="M243 1074l814 -498q18 -11 18 -26t-18 -26l-814 -498q-18 -11 -30.5 -4t-12.5 28v1000q0 21 12.5 28t30.5 -4z" />
<glyph unicode="&#xe073;" d="M250 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM650 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe074;" d="M1100 950v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe075;" d="M500 612v438q0 21 10.5 25t25.5 -10l492 -480q15 -14 15 -35t-15 -35l-492 -480q-15 -14 -25.5 -10t-10.5 25v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10z" />
<glyph unicode="&#xe076;" d="M1048 1102l100 1q20 0 35 -14.5t15 -35.5l5 -1000q0 -21 -14.5 -35.5t-35.5 -14.5l-100 -1q-21 0 -35.5 14.5t-14.5 35.5l-2 437l-463 -454q-14 -15 -24.5 -10.5t-10.5 25.5l-2 437l-462 -455q-15 -14 -25.5 -9.5t-10.5 24.5l-5 1000q0 21 10.5 25.5t25.5 -10.5l466 -450 l-2 438q0 20 10.5 24.5t25.5 -9.5l466 -451l-2 438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe077;" d="M850 1100h100q21 0 35.5 -14.5t14.5 -35.5v-1000q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10l464 -453v438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe078;" d="M686 1081l501 -540q15 -15 10.5 -26t-26.5 -11h-1042q-22 0 -26.5 11t10.5 26l501 540q15 15 36 15t36 -15zM150 400h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe079;" d="M885 900l-352 -353l352 -353l-197 -198l-552 552l552 550z" />
<glyph unicode="&#xe080;" d="M1064 547l-551 -551l-198 198l353 353l-353 353l198 198z" />
<glyph unicode="&#xe081;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM650 900h-100q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-150 q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5h150v-150q0 -21 14.5 -35.5t35.5 -14.5h100q21 0 35.5 14.5t14.5 35.5v150h150q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-150v150q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe082;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM850 700h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5 t35.5 -14.5h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe083;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM741.5 913q-12.5 0 -21.5 -9l-120 -120l-120 120q-9 9 -21.5 9 t-21.5 -9l-141 -141q-9 -9 -9 -21.5t9 -21.5l120 -120l-120 -120q-9 -9 -9 -21.5t9 -21.5l141 -141q9 -9 21.5 -9t21.5 9l120 120l120 -120q9 -9 21.5 -9t21.5 9l141 141q9 9 9 21.5t-9 21.5l-120 120l120 120q9 9 9 21.5t-9 21.5l-141 141q-9 9 -21.5 9z" />
<glyph unicode="&#xe084;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM546 623l-84 85q-7 7 -17.5 7t-18.5 -7l-139 -139q-7 -8 -7 -18t7 -18 l242 -241q7 -8 17.5 -8t17.5 8l375 375q7 7 7 17.5t-7 18.5l-139 139q-7 7 -17.5 7t-17.5 -7z" />
<glyph unicode="&#xe085;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM588 941q-29 0 -59 -5.5t-63 -20.5t-58 -38.5t-41.5 -63t-16.5 -89.5 q0 -25 20 -25h131q30 -5 35 11q6 20 20.5 28t45.5 8q20 0 31.5 -10.5t11.5 -28.5q0 -23 -7 -34t-26 -18q-1 0 -13.5 -4t-19.5 -7.5t-20 -10.5t-22 -17t-18.5 -24t-15.5 -35t-8 -46q-1 -8 5.5 -16.5t20.5 -8.5h173q7 0 22 8t35 28t37.5 48t29.5 74t12 100q0 47 -17 83 t-42.5 57t-59.5 34.5t-64 18t-59 4.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe086;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM675 1000h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5 t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5zM675 700h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h75v-200h-75q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h350q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5 t-17.5 7.5h-75v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe087;" d="M525 1200h150q10 0 17.5 -7.5t7.5 -17.5v-194q103 -27 178.5 -102.5t102.5 -178.5h194q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-194q-27 -103 -102.5 -178.5t-178.5 -102.5v-194q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v194 q-103 27 -178.5 102.5t-102.5 178.5h-194q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h194q27 103 102.5 178.5t178.5 102.5v194q0 10 7.5 17.5t17.5 7.5zM700 893v-168q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v168q-68 -23 -119 -74 t-74 -119h168q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-168q23 -68 74 -119t119 -74v168q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-168q68 23 119 74t74 119h-168q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h168 q-23 68 -74 119t-119 74z" />
<glyph unicode="&#xe088;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM759 823l64 -64q7 -7 7 -17.5t-7 -17.5l-124 -124l124 -124q7 -7 7 -17.5t-7 -17.5l-64 -64q-7 -7 -17.5 -7t-17.5 7l-124 124l-124 -124q-7 -7 -17.5 -7t-17.5 7l-64 64 q-7 7 -7 17.5t7 17.5l124 124l-124 124q-7 7 -7 17.5t7 17.5l64 64q7 7 17.5 7t17.5 -7l124 -124l124 124q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe089;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM782 788l106 -106q7 -7 7 -17.5t-7 -17.5l-320 -321q-8 -7 -18 -7t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l197 197q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe090;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5q0 -120 65 -225 l587 587q-105 65 -225 65zM965 819l-584 -584q104 -62 219 -62q116 0 214.5 57t155.5 155.5t57 214.5q0 115 -62 219z" />
<glyph unicode="&#xe091;" d="M39 582l522 427q16 13 27.5 8t11.5 -26v-291h550q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-550v-291q0 -21 -11.5 -26t-27.5 8l-522 427q-16 13 -16 32t16 32z" />
<glyph unicode="&#xe092;" d="M639 1009l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291h-550q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h550v291q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe093;" d="M682 1161l427 -522q13 -16 8 -27.5t-26 -11.5h-291v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v550h-291q-21 0 -26 11.5t8 27.5l427 522q13 16 32 16t32 -16z" />
<glyph unicode="&#xe094;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-550h291q21 0 26 -11.5t-8 -27.5l-427 -522q-13 -16 -32 -16t-32 16l-427 522q-13 16 -8 27.5t26 11.5h291v550q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe095;" d="M639 1109l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291q-94 -2 -182 -20t-170.5 -52t-147 -92.5t-100.5 -135.5q5 105 27 193.5t67.5 167t113 135t167 91.5t225.5 42v262q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe096;" d="M850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5zM350 0h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249 q8 7 18 7t18 -7l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5z" />
<glyph unicode="&#xe097;" d="M1014 1120l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249q8 7 18 7t18 -7zM250 600h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5z" />
<glyph unicode="&#xe101;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM704 900h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5 t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe102;" d="M260 1200q9 0 19 -2t15 -4l5 -2q22 -10 44 -23l196 -118q21 -13 36 -24q29 -21 37 -12q11 13 49 35l196 118q22 13 45 23q17 7 38 7q23 0 47 -16.5t37 -33.5l13 -16q14 -21 18 -45l25 -123l8 -44q1 -9 8.5 -14.5t17.5 -5.5h61q10 0 17.5 -7.5t7.5 -17.5v-50 q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 -7.5t-7.5 -17.5v-175h-400v300h-200v-300h-400v175q0 10 -7.5 17.5t-17.5 7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5h61q11 0 18 3t7 8q0 4 9 52l25 128q5 25 19 45q2 3 5 7t13.5 15t21.5 19.5t26.5 15.5 t29.5 7zM915 1079l-166 -162q-7 -7 -5 -12t12 -5h219q10 0 15 7t2 17l-51 149q-3 10 -11 12t-15 -6zM463 917l-177 157q-8 7 -16 5t-11 -12l-51 -143q-3 -10 2 -17t15 -7h231q11 0 12.5 5t-5.5 12zM500 0h-375q-10 0 -17.5 7.5t-7.5 17.5v375h400v-400zM1100 400v-375 q0 -10 -7.5 -17.5t-17.5 -7.5h-375v400h400z" />
<glyph unicode="&#xe103;" d="M1165 1190q8 3 21 -6.5t13 -17.5q-2 -178 -24.5 -323.5t-55.5 -245.5t-87 -174.5t-102.5 -118.5t-118 -68.5t-118.5 -33t-120 -4.5t-105 9.5t-90 16.5q-61 12 -78 11q-4 1 -12.5 0t-34 -14.5t-52.5 -40.5l-153 -153q-26 -24 -37 -14.5t-11 43.5q0 64 42 102q8 8 50.5 45 t66.5 58q19 17 35 47t13 61q-9 55 -10 102.5t7 111t37 130t78 129.5q39 51 80 88t89.5 63.5t94.5 45t113.5 36t129 31t157.5 37t182 47.5zM1116 1098q-8 9 -22.5 -3t-45.5 -50q-38 -47 -119 -103.5t-142 -89.5l-62 -33q-56 -30 -102 -57t-104 -68t-102.5 -80.5t-85.5 -91 t-64 -104.5q-24 -56 -31 -86t2 -32t31.5 17.5t55.5 59.5q25 30 94 75.5t125.5 77.5t147.5 81q70 37 118.5 69t102 79.5t99 111t86.5 148.5q22 50 24 60t-6 19z" />
<glyph unicode="&#xe104;" d="M653 1231q-39 -67 -54.5 -131t-10.5 -114.5t24.5 -96.5t47.5 -80t63.5 -62.5t68.5 -46.5t65 -30q-4 7 -17.5 35t-18.5 39.5t-17 39.5t-17 43t-13 42t-9.5 44.5t-2 42t4 43t13.5 39t23 38.5q96 -42 165 -107.5t105 -138t52 -156t13 -159t-19 -149.5q-13 -55 -44 -106.5 t-68 -87t-78.5 -64.5t-72.5 -45t-53 -22q-72 -22 -127 -11q-31 6 -13 19q6 3 17 7q13 5 32.5 21t41 44t38.5 63.5t21.5 81.5t-6.5 94.5t-50 107t-104 115.5q10 -104 -0.5 -189t-37 -140.5t-65 -93t-84 -52t-93.5 -11t-95 24.5q-80 36 -131.5 114t-53.5 171q-2 23 0 49.5 t4.5 52.5t13.5 56t27.5 60t46 64.5t69.5 68.5q-8 -53 -5 -102.5t17.5 -90t34 -68.5t44.5 -39t49 -2q31 13 38.5 36t-4.5 55t-29 64.5t-36 75t-26 75.5q-15 85 2 161.5t53.5 128.5t85.5 92.5t93.5 61t81.5 25.5z" />
<glyph unicode="&#xe105;" d="M600 1094q82 0 160.5 -22.5t140 -59t116.5 -82.5t94.5 -95t68 -95t42.5 -82.5t14 -57.5t-14 -57.5t-43 -82.5t-68.5 -95t-94.5 -95t-116.5 -82.5t-140 -59t-159.5 -22.5t-159.5 22.5t-140 59t-116.5 82.5t-94.5 95t-68.5 95t-43 82.5t-14 57.5t14 57.5t42.5 82.5t68 95 t94.5 95t116.5 82.5t140 59t160.5 22.5zM888 829q-15 15 -18 12t5 -22q25 -57 25 -119q0 -124 -88 -212t-212 -88t-212 88t-88 212q0 59 23 114q8 19 4.5 22t-17.5 -12q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q22 -36 47 -71t70 -82t92.5 -81t113 -58.5t133.5 -24.5 t133.5 24t113 58.5t92.5 81.5t70 81.5t47 70.5q11 18 9 42.5t-14 41.5q-90 117 -163 189zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l35 34q14 15 12.5 33.5t-16.5 33.5q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe106;" d="M592 0h-148l31 120q-91 20 -175.5 68.5t-143.5 106.5t-103.5 119t-66.5 110t-22 76q0 21 14 57.5t42.5 82.5t68 95t94.5 95t116.5 82.5t140 59t160.5 22.5q61 0 126 -15l32 121h148zM944 770l47 181q108 -85 176.5 -192t68.5 -159q0 -26 -19.5 -71t-59.5 -102t-93 -112 t-129 -104.5t-158 -75.5l46 173q77 49 136 117t97 131q11 18 9 42.5t-14 41.5q-54 70 -107 130zM310 824q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q18 -30 39 -60t57 -70.5t74 -73t90 -61t105 -41.5l41 154q-107 18 -178.5 101.5t-71.5 193.5q0 59 23 114q8 19 4.5 22 t-17.5 -12zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l12 11l22 86l-3 4q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe107;" d="M-90 100l642 1066q20 31 48 28.5t48 -35.5l642 -1056q21 -32 7.5 -67.5t-50.5 -35.5h-1294q-37 0 -50.5 34t7.5 66zM155 200h345v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h345l-445 723zM496 700h208q20 0 32 -14.5t8 -34.5l-58 -252 q-4 -20 -21.5 -34.5t-37.5 -14.5h-54q-20 0 -37.5 14.5t-21.5 34.5l-58 252q-4 20 8 34.5t32 14.5z" />
<glyph unicode="&#xe108;" d="M650 1200q62 0 106 -44t44 -106v-339l363 -325q15 -14 26 -38.5t11 -44.5v-41q0 -20 -12 -26.5t-29 5.5l-359 249v-263q100 -93 100 -113v-64q0 -21 -13 -29t-32 1l-205 128l-205 -128q-19 -9 -32 -1t-13 29v64q0 20 100 113v263l-359 -249q-17 -12 -29 -5.5t-12 26.5v41 q0 20 11 44.5t26 38.5l363 325v339q0 62 44 106t106 44z" />
<glyph unicode="&#xe109;" d="M850 1200h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-150h-1100v150q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5h100q21 0 35.5 -14.5t14.5 -35.5v-50h500v50q0 21 14.5 35.5t35.5 14.5zM1100 800v-750q0 -21 -14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v750h1100zM100 600v-100h100v100h-100zM300 600v-100h100v100h-100zM500 600v-100h100v100h-100zM700 600v-100h100v100h-100zM900 600v-100h100v100h-100zM100 400v-100h100v100h-100zM300 400v-100h100v100h-100zM500 400 v-100h100v100h-100zM700 400v-100h100v100h-100zM900 400v-100h100v100h-100zM100 200v-100h100v100h-100zM300 200v-100h100v100h-100zM500 200v-100h100v100h-100zM700 200v-100h100v100h-100zM900 200v-100h100v100h-100z" />
<glyph unicode="&#xe110;" d="M1135 1165l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-159l-600 -600h-291q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h209l600 600h241v150q0 21 10.5 25t24.5 -10zM522 819l-141 -141l-122 122h-209q-21 0 -35.5 14.5 t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h291zM1135 565l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-241l-181 181l141 141l122 -122h159v150q0 21 10.5 25t24.5 -10z" />
<glyph unicode="&#xe111;" d="M100 1100h1000q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-596l-304 -300v300h-100q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5z" />
<glyph unicode="&#xe112;" d="M150 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM850 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM1100 800v-300q0 -41 -3 -77.5t-15 -89.5t-32 -96t-58 -89t-89 -77t-129 -51t-174 -20t-174 20 t-129 51t-89 77t-58 89t-32 96t-15 89.5t-3 77.5v300h300v-250v-27v-42.5t1.5 -41t5 -38t10 -35t16.5 -30t25.5 -24.5t35 -19t46.5 -12t60 -4t60 4.5t46.5 12.5t35 19.5t25 25.5t17 30.5t10 35t5 38t2 40.5t-0.5 42v25v250h300z" />
<glyph unicode="&#xe113;" d="M1100 411l-198 -199l-353 353l-353 -353l-197 199l551 551z" />
<glyph unicode="&#xe114;" d="M1101 789l-550 -551l-551 551l198 199l353 -353l353 353z" />
<glyph unicode="&#xe115;" d="M404 1000h746q21 0 35.5 -14.5t14.5 -35.5v-551h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v401h-381zM135 984l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-400h385l215 -200h-750q-21 0 -35.5 14.5 t-14.5 35.5v550h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe116;" d="M56 1200h94q17 0 31 -11t18 -27l38 -162h896q24 0 39 -18.5t10 -42.5l-100 -475q-5 -21 -27 -42.5t-55 -21.5h-633l48 -200h535q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-50q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-300v-50 q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-31q-18 0 -32.5 10t-20.5 19l-5 10l-201 961h-54q-20 0 -35 14.5t-15 35.5t15 35.5t35 14.5z" />
<glyph unicode="&#xe117;" d="M1200 1000v-100h-1200v100h200q0 41 29.5 70.5t70.5 29.5h300q41 0 70.5 -29.5t29.5 -70.5h500zM0 800h1200v-800h-1200v800z" />
<glyph unicode="&#xe118;" d="M200 800l-200 -400v600h200q0 41 29.5 70.5t70.5 29.5h300q42 0 71 -29.5t29 -70.5h500v-200h-1000zM1500 700l-300 -700h-1200l300 700h1200z" />
<glyph unicode="&#xe119;" d="M635 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-601h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v601h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe120;" d="M936 864l249 -229q14 -15 14 -35.5t-14 -35.5l-249 -229q-15 -15 -25.5 -10.5t-10.5 24.5v151h-600v-151q0 -20 -10.5 -24.5t-25.5 10.5l-249 229q-14 15 -14 35.5t14 35.5l249 229q15 15 25.5 10.5t10.5 -25.5v-149h600v149q0 21 10.5 25.5t25.5 -10.5z" />
<glyph unicode="&#xe121;" d="M1169 400l-172 732q-5 23 -23 45.5t-38 22.5h-672q-20 0 -38 -20t-23 -41l-172 -739h1138zM1100 300h-1000q-41 0 -70.5 -29.5t-29.5 -70.5v-100q0 -41 29.5 -70.5t70.5 -29.5h1000q41 0 70.5 29.5t29.5 70.5v100q0 41 -29.5 70.5t-70.5 29.5zM800 100v100h100v-100h-100 zM1000 100v100h100v-100h-100z" />
<glyph unicode="&#xe122;" d="M1150 1100q21 0 35.5 -14.5t14.5 -35.5v-850q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v850q0 21 14.5 35.5t35.5 14.5zM1000 200l-675 200h-38l47 -276q3 -16 -5.5 -20t-29.5 -4h-7h-84q-20 0 -34.5 14t-18.5 35q-55 337 -55 351v250v6q0 16 1 23.5t6.5 14 t17.5 6.5h200l675 250v-850zM0 750v-250q-4 0 -11 0.5t-24 6t-30 15t-24 30t-11 48.5v50q0 26 10.5 46t25 30t29 16t25.5 7z" />
<glyph unicode="&#xe123;" d="M553 1200h94q20 0 29 -10.5t3 -29.5l-18 -37q83 -19 144 -82.5t76 -140.5l63 -327l118 -173h17q19 0 33 -14.5t14 -35t-13 -40.5t-31 -27q-8 -4 -23 -9.5t-65 -19.5t-103 -25t-132.5 -20t-158.5 -9q-57 0 -115 5t-104 12t-88.5 15.5t-73.5 17.5t-54.5 16t-35.5 12l-11 4 q-18 8 -31 28t-13 40.5t14 35t33 14.5h17l118 173l63 327q15 77 76 140t144 83l-18 32q-6 19 3.5 32t28.5 13zM498 110q50 -6 102 -6q53 0 102 6q-12 -49 -39.5 -79.5t-62.5 -30.5t-63 30.5t-39 79.5z" />
<glyph unicode="&#xe124;" d="M800 946l224 78l-78 -224l234 -45l-180 -155l180 -155l-234 -45l78 -224l-224 78l-45 -234l-155 180l-155 -180l-45 234l-224 -78l78 224l-234 45l180 155l-180 155l234 45l-78 224l224 -78l45 234l155 -180l155 180z" />
<glyph unicode="&#xe125;" d="M650 1200h50q40 0 70 -40.5t30 -84.5v-150l-28 -125h328q40 0 70 -40.5t30 -84.5v-100q0 -45 -29 -74l-238 -344q-16 -24 -38 -40.5t-45 -16.5h-250q-7 0 -42 25t-66 50l-31 25h-61q-45 0 -72.5 18t-27.5 57v400q0 36 20 63l145 196l96 198q13 28 37.5 48t51.5 20z M650 1100l-100 -212l-150 -213v-375h100l136 -100h214l250 375v125h-450l50 225v175h-50zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe126;" d="M600 1100h250q23 0 45 -16.5t38 -40.5l238 -344q29 -29 29 -74v-100q0 -44 -30 -84.5t-70 -40.5h-328q28 -118 28 -125v-150q0 -44 -30 -84.5t-70 -40.5h-50q-27 0 -51.5 20t-37.5 48l-96 198l-145 196q-20 27 -20 63v400q0 39 27.5 57t72.5 18h61q124 100 139 100z M50 1000h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM636 1000l-136 -100h-100v-375l150 -213l100 -212h50v175l-50 225h450v125l-250 375h-214z" />
<glyph unicode="&#xe127;" d="M356 873l363 230q31 16 53 -6l110 -112q13 -13 13.5 -32t-11.5 -34l-84 -121h302q84 0 138 -38t54 -110t-55 -111t-139 -39h-106l-131 -339q-6 -21 -19.5 -41t-28.5 -20h-342q-7 0 -90 81t-83 94v525q0 17 14 35.5t28 28.5zM400 792v-503l100 -89h293l131 339 q6 21 19.5 41t28.5 20h203q21 0 30.5 25t0.5 50t-31 25h-456h-7h-6h-5.5t-6 0.5t-5 1.5t-5 2t-4 2.5t-4 4t-2.5 4.5q-12 25 5 47l146 183l-86 83zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe128;" d="M475 1103l366 -230q2 -1 6 -3.5t14 -10.5t18 -16.5t14.5 -20t6.5 -22.5v-525q0 -13 -86 -94t-93 -81h-342q-15 0 -28.5 20t-19.5 41l-131 339h-106q-85 0 -139.5 39t-54.5 111t54 110t138 38h302l-85 121q-11 15 -10.5 34t13.5 32l110 112q22 22 53 6zM370 945l146 -183 q17 -22 5 -47q-2 -2 -3.5 -4.5t-4 -4t-4 -2.5t-5 -2t-5 -1.5t-6 -0.5h-6h-6.5h-6h-475v-100h221q15 0 29 -20t20 -41l130 -339h294l106 89v503l-342 236zM1050 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5 v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe129;" d="M550 1294q72 0 111 -55t39 -139v-106l339 -131q21 -6 41 -19.5t20 -28.5v-342q0 -7 -81 -90t-94 -83h-525q-17 0 -35.5 14t-28.5 28l-9 14l-230 363q-16 31 6 53l112 110q13 13 32 13.5t34 -11.5l121 -84v302q0 84 38 138t110 54zM600 972v203q0 21 -25 30.5t-50 0.5 t-25 -31v-456v-7v-6v-5.5t-0.5 -6t-1.5 -5t-2 -5t-2.5 -4t-4 -4t-4.5 -2.5q-25 -12 -47 5l-183 146l-83 -86l236 -339h503l89 100v293l-339 131q-21 6 -41 19.5t-20 28.5zM450 200h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe130;" d="M350 1100h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5zM600 306v-106q0 -84 -39 -139t-111 -55t-110 54t-38 138v302l-121 -84q-15 -12 -34 -11.5t-32 13.5l-112 110 q-22 22 -6 53l230 363q1 2 3.5 6t10.5 13.5t16.5 17t20 13.5t22.5 6h525q13 0 94 -83t81 -90v-342q0 -15 -20 -28.5t-41 -19.5zM308 900l-236 -339l83 -86l183 146q22 17 47 5q2 -1 4.5 -2.5t4 -4t2.5 -4t2 -5t1.5 -5t0.5 -6v-5.5v-6v-7v-456q0 -22 25 -31t50 0.5t25 30.5 v203q0 15 20 28.5t41 19.5l339 131v293l-89 100h-503z" />
<glyph unicode="&#xe131;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM914 632l-275 223q-16 13 -27.5 8t-11.5 -26v-137h-275 q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h275v-137q0 -21 11.5 -26t27.5 8l275 223q16 13 16 32t-16 32z" />
<glyph unicode="&#xe132;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM561 855l-275 -223q-16 -13 -16 -32t16 -32l275 -223q16 -13 27.5 -8 t11.5 26v137h275q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5h-275v137q0 21 -11.5 26t-27.5 -8z" />
<glyph unicode="&#xe133;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM855 639l-223 275q-13 16 -32 16t-32 -16l-223 -275q-13 -16 -8 -27.5 t26 -11.5h137v-275q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v275h137q21 0 26 11.5t-8 27.5z" />
<glyph unicode="&#xe134;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM675 900h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-275h-137q-21 0 -26 -11.5 t8 -27.5l223 -275q13 -16 32 -16t32 16l223 275q13 16 8 27.5t-26 11.5h-137v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe135;" d="M600 1176q116 0 222.5 -46t184 -123.5t123.5 -184t46 -222.5t-46 -222.5t-123.5 -184t-184 -123.5t-222.5 -46t-222.5 46t-184 123.5t-123.5 184t-46 222.5t46 222.5t123.5 184t184 123.5t222.5 46zM627 1101q-15 -12 -36.5 -20.5t-35.5 -12t-43 -8t-39 -6.5 q-15 -3 -45.5 0t-45.5 -2q-20 -7 -51.5 -26.5t-34.5 -34.5q-3 -11 6.5 -22.5t8.5 -18.5q-3 -34 -27.5 -91t-29.5 -79q-9 -34 5 -93t8 -87q0 -9 17 -44.5t16 -59.5q12 0 23 -5t23.5 -15t19.5 -14q16 -8 33 -15t40.5 -15t34.5 -12q21 -9 52.5 -32t60 -38t57.5 -11 q7 -15 -3 -34t-22.5 -40t-9.5 -38q13 -21 23 -34.5t27.5 -27.5t36.5 -18q0 -7 -3.5 -16t-3.5 -14t5 -17q104 -2 221 112q30 29 46.5 47t34.5 49t21 63q-13 8 -37 8.5t-36 7.5q-15 7 -49.5 15t-51.5 19q-18 0 -41 -0.5t-43 -1.5t-42 -6.5t-38 -16.5q-51 -35 -66 -12 q-4 1 -3.5 25.5t0.5 25.5q-6 13 -26.5 17.5t-24.5 6.5q1 15 -0.5 30.5t-7 28t-18.5 11.5t-31 -21q-23 -25 -42 4q-19 28 -8 58q6 16 22 22q6 -1 26 -1.5t33.5 -4t19.5 -13.5q7 -12 18 -24t21.5 -20.5t20 -15t15.5 -10.5l5 -3q2 12 7.5 30.5t8 34.5t-0.5 32q-3 18 3.5 29 t18 22.5t15.5 24.5q6 14 10.5 35t8 31t15.5 22.5t34 22.5q-6 18 10 36q8 0 24 -1.5t24.5 -1.5t20 4.5t20.5 15.5q-10 23 -31 42.5t-37.5 29.5t-49 27t-43.5 23q0 1 2 8t3 11.5t1.5 10.5t-1 9.5t-4.5 4.5q31 -13 58.5 -14.5t38.5 2.5l12 5q5 28 -9.5 46t-36.5 24t-50 15 t-41 20q-18 -4 -37 0zM613 994q0 -17 8 -42t17 -45t9 -23q-8 1 -39.5 5.5t-52.5 10t-37 16.5q3 11 16 29.5t16 25.5q10 -10 19 -10t14 6t13.5 14.5t16.5 12.5z" />
<glyph unicode="&#xe136;" d="M756 1157q164 92 306 -9l-259 -138l145 -232l251 126q6 -89 -34 -156.5t-117 -110.5q-60 -34 -127 -39.5t-126 16.5l-596 -596q-15 -16 -36.5 -16t-36.5 16l-111 110q-15 15 -15 36.5t15 37.5l600 599q-34 101 5.5 201.5t135.5 154.5z" />
<glyph unicode="&#xe137;" horiz-adv-x="1220" d="M100 1196h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 1096h-200v-100h200v100zM100 796h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 696h-500v-100h500v100zM100 396h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 296h-300v-100h300v100z " />
<glyph unicode="&#xe138;" d="M150 1200h900q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM700 500v-300l-200 -200v500l-350 500h900z" />
<glyph unicode="&#xe139;" d="M500 1200h200q41 0 70.5 -29.5t29.5 -70.5v-100h300q41 0 70.5 -29.5t29.5 -70.5v-400h-500v100h-200v-100h-500v400q0 41 29.5 70.5t70.5 29.5h300v100q0 41 29.5 70.5t70.5 29.5zM500 1100v-100h200v100h-200zM1200 400v-200q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v200h1200z" />
<glyph unicode="&#xe140;" d="M50 1200h300q21 0 25 -10.5t-10 -24.5l-94 -94l199 -199q7 -8 7 -18t-7 -18l-106 -106q-8 -7 -18 -7t-18 7l-199 199l-94 -94q-14 -14 -24.5 -10t-10.5 25v300q0 21 14.5 35.5t35.5 14.5zM850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-199 -199q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l199 199l-94 94q-14 14 -10 24.5t25 10.5zM364 470l106 -106q7 -8 7 -18t-7 -18l-199 -199l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l199 199 q8 7 18 7t18 -7zM1071 271l94 94q14 14 24.5 10t10.5 -25v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -25 10.5t10 24.5l94 94l-199 199q-7 8 -7 18t7 18l106 106q8 7 18 7t18 -7z" />
<glyph unicode="&#xe141;" d="M596 1192q121 0 231.5 -47.5t190 -127t127 -190t47.5 -231.5t-47.5 -231.5t-127 -190.5t-190 -127t-231.5 -47t-231.5 47t-190.5 127t-127 190.5t-47 231.5t47 231.5t127 190t190.5 127t231.5 47.5zM596 1010q-112 0 -207.5 -55.5t-151 -151t-55.5 -207.5t55.5 -207.5 t151 -151t207.5 -55.5t207.5 55.5t151 151t55.5 207.5t-55.5 207.5t-151 151t-207.5 55.5zM454.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38.5 -16.5t-38.5 16.5t-16 39t16 38.5t38.5 16zM754.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38 -16.5q-14 0 -29 10l-55 -145 q17 -23 17 -51q0 -36 -25.5 -61.5t-61.5 -25.5t-61.5 25.5t-25.5 61.5q0 32 20.5 56.5t51.5 29.5l122 126l1 1q-9 14 -9 28q0 23 16 39t38.5 16zM345.5 709q22.5 0 38.5 -16t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16zM854.5 709q22.5 0 38.5 -16 t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16z" />
<glyph unicode="&#xe142;" d="M546 173l469 470q91 91 99 192q7 98 -52 175.5t-154 94.5q-22 4 -47 4q-34 0 -66.5 -10t-56.5 -23t-55.5 -38t-48 -41.5t-48.5 -47.5q-376 -375 -391 -390q-30 -27 -45 -41.5t-37.5 -41t-32 -46.5t-16 -47.5t-1.5 -56.5q9 -62 53.5 -95t99.5 -33q74 0 125 51l548 548 q36 36 20 75q-7 16 -21.5 26t-32.5 10q-26 0 -50 -23q-13 -12 -39 -38l-341 -338q-15 -15 -35.5 -15.5t-34.5 13.5t-14 34.5t14 34.5q327 333 361 367q35 35 67.5 51.5t78.5 16.5q14 0 29 -1q44 -8 74.5 -35.5t43.5 -68.5q14 -47 2 -96.5t-47 -84.5q-12 -11 -32 -32 t-79.5 -81t-114.5 -115t-124.5 -123.5t-123 -119.5t-96.5 -89t-57 -45q-56 -27 -120 -27q-70 0 -129 32t-93 89q-48 78 -35 173t81 163l511 511q71 72 111 96q91 55 198 55q80 0 152 -33q78 -36 129.5 -103t66.5 -154q17 -93 -11 -183.5t-94 -156.5l-482 -476 q-15 -15 -36 -16t-37 14t-17.5 34t14.5 35z" />
<glyph unicode="&#xe143;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104zM896 972q-33 0 -64.5 -19t-56.5 -46t-47.5 -53.5t-43.5 -45.5t-37.5 -19t-36 19t-40 45.5t-43 53.5t-54 46t-65.5 19q-67 0 -122.5 -55.5t-55.5 -132.5q0 -23 13.5 -51t46 -65t57.5 -63t76 -75l22 -22q15 -14 44 -44t50.5 -51t46 -44t41 -35t23 -12 t23.5 12t42.5 36t46 44t52.5 52t44 43q4 4 12 13q43 41 63.5 62t52 55t46 55t26 46t11.5 44q0 79 -53 133.5t-120 54.5z" />
<glyph unicode="&#xe144;" d="M776.5 1214q93.5 0 159.5 -66l141 -141q66 -66 66 -160q0 -42 -28 -95.5t-62 -87.5l-29 -29q-31 53 -77 99l-18 18l95 95l-247 248l-389 -389l212 -212l-105 -106l-19 18l-141 141q-66 66 -66 159t66 159l283 283q65 66 158.5 66zM600 706l105 105q10 -8 19 -17l141 -141 q66 -66 66 -159t-66 -159l-283 -283q-66 -66 -159 -66t-159 66l-141 141q-66 66 -66 159.5t66 159.5l55 55q29 -55 75 -102l18 -17l-95 -95l247 -248l389 389z" />
<glyph unicode="&#xe145;" d="M603 1200q85 0 162 -15t127 -38t79 -48t29 -46v-953q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-41 0 -70.5 29.5t-29.5 70.5v953q0 21 30 46.5t81 48t129 37.5t163 15zM300 1000v-700h600v700h-600zM600 254q-43 0 -73.5 -30.5t-30.5 -73.5t30.5 -73.5t73.5 -30.5t73.5 30.5 t30.5 73.5t-30.5 73.5t-73.5 30.5z" />
<glyph unicode="&#xe146;" d="M902 1185l283 -282q15 -15 15 -36t-14.5 -35.5t-35.5 -14.5t-35 15l-36 35l-279 -267v-300l-212 210l-308 -307l-280 -203l203 280l307 308l-210 212h300l267 279l-35 36q-15 14 -15 35t14.5 35.5t35.5 14.5t35 -15z" />
<glyph unicode="&#xe148;" d="M700 1248v-78q38 -5 72.5 -14.5t75.5 -31.5t71 -53.5t52 -84t24 -118.5h-159q-4 36 -10.5 59t-21 45t-40 35.5t-64.5 20.5v-307l64 -13q34 -7 64 -16.5t70 -32t67.5 -52.5t47.5 -80t20 -112q0 -139 -89 -224t-244 -97v-77h-100v79q-150 16 -237 103q-40 40 -52.5 93.5 t-15.5 139.5h139q5 -77 48.5 -126t117.5 -65v335l-27 8q-46 14 -79 26.5t-72 36t-63 52t-40 72.5t-16 98q0 70 25 126t67.5 92t94.5 57t110 27v77h100zM600 754v274q-29 -4 -50 -11t-42 -21.5t-31.5 -41.5t-10.5 -65q0 -29 7 -50.5t16.5 -34t28.5 -22.5t31.5 -14t37.5 -10 q9 -3 13 -4zM700 547v-310q22 2 42.5 6.5t45 15.5t41.5 27t29 42t12 59.5t-12.5 59.5t-38 44.5t-53 31t-66.5 24.5z" />
<glyph unicode="&#xe149;" d="M561 1197q84 0 160.5 -40t123.5 -109.5t47 -147.5h-153q0 40 -19.5 71.5t-49.5 48.5t-59.5 26t-55.5 9q-37 0 -79 -14.5t-62 -35.5q-41 -44 -41 -101q0 -26 13.5 -63t26.5 -61t37 -66q6 -9 9 -14h241v-100h-197q8 -50 -2.5 -115t-31.5 -95q-45 -62 -99 -112 q34 10 83 17.5t71 7.5q32 1 102 -16t104 -17q83 0 136 30l50 -147q-31 -19 -58 -30.5t-55 -15.5t-42 -4.5t-46 -0.5q-23 0 -76 17t-111 32.5t-96 11.5q-39 -3 -82 -16t-67 -25l-23 -11l-55 145q4 3 16 11t15.5 10.5t13 9t15.5 12t14.5 14t17.5 18.5q48 55 54 126.5 t-30 142.5h-221v100h166q-23 47 -44 104q-7 20 -12 41.5t-6 55.5t6 66.5t29.5 70.5t58.5 71q97 88 263 88z" />
<glyph unicode="&#xe150;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM935 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-900h-200v900h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe151;" d="M1000 700h-100v100h-100v-100h-100v500h300v-500zM400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM801 1100v-200h100v200h-100zM1000 350l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150z " />
<glyph unicode="&#xe152;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 1050l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150zM1000 0h-100v100h-100v-100h-100v500h300v-500zM801 400v-200h100v200h-100z " />
<glyph unicode="&#xe153;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 700h-100v400h-100v100h200v-500zM1100 0h-100v100h-200v400h300v-500zM901 400v-200h100v200h-100z" />
<glyph unicode="&#xe154;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1100 700h-100v100h-200v400h300v-500zM901 1100v-200h100v200h-100zM1000 0h-100v400h-100v100h200v-500z" />
<glyph unicode="&#xe155;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM900 1000h-200v200h200v-200zM1000 700h-300v200h300v-200zM1100 400h-400v200h400v-200zM1200 100h-500v200h500v-200z" />
<glyph unicode="&#xe156;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1200 1000h-500v200h500v-200zM1100 700h-400v200h400v-200zM1000 400h-300v200h300v-200zM900 100h-200v200h200v-200z" />
<glyph unicode="&#xe157;" d="M350 1100h400q162 0 256 -93.5t94 -256.5v-400q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5z" />
<glyph unicode="&#xe158;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-163 0 -256.5 92.5t-93.5 257.5v400q0 163 94 256.5t256 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM440 770l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe159;" d="M350 1100h400q163 0 256.5 -94t93.5 -256v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 163 92.5 256.5t257.5 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM350 700h400q21 0 26.5 -12t-6.5 -28l-190 -253q-12 -17 -30 -17t-30 17l-190 253q-12 16 -6.5 28t26.5 12z" />
<glyph unicode="&#xe160;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -163 -92.5 -256.5t-257.5 -93.5h-400q-163 0 -256.5 94t-93.5 256v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM580 693l190 -253q12 -16 6.5 -28t-26.5 -12h-400q-21 0 -26.5 12t6.5 28l190 253q12 17 30 17t30 -17z" />
<glyph unicode="&#xe161;" d="M550 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h450q41 0 70.5 29.5t29.5 70.5v500q0 41 -29.5 70.5t-70.5 29.5h-450q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM338 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe162;" d="M793 1182l9 -9q8 -10 5 -27q-3 -11 -79 -225.5t-78 -221.5l300 1q24 0 32.5 -17.5t-5.5 -35.5q-1 0 -133.5 -155t-267 -312.5t-138.5 -162.5q-12 -15 -26 -15h-9l-9 8q-9 11 -4 32q2 9 42 123.5t79 224.5l39 110h-302q-23 0 -31 19q-10 21 6 41q75 86 209.5 237.5 t228 257t98.5 111.5q9 16 25 16h9z" />
<glyph unicode="&#xe163;" d="M350 1100h400q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-450q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h450q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400 q0 165 92.5 257.5t257.5 92.5zM938 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe164;" d="M750 1200h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -10.5 -25t-24.5 10l-109 109l-312 -312q-15 -15 -35.5 -15t-35.5 15l-141 141q-15 15 -15 35.5t15 35.5l312 312l-109 109q-14 14 -10 24.5t25 10.5zM456 900h-156q-41 0 -70.5 -29.5t-29.5 -70.5v-500 q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v148l200 200v-298q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5h300z" />
<glyph unicode="&#xe165;" d="M600 1186q119 0 227.5 -46.5t187 -125t125 -187t46.5 -227.5t-46.5 -227.5t-125 -187t-187 -125t-227.5 -46.5t-227.5 46.5t-187 125t-125 187t-46.5 227.5t46.5 227.5t125 187t187 125t227.5 46.5zM600 1022q-115 0 -212 -56.5t-153.5 -153.5t-56.5 -212t56.5 -212 t153.5 -153.5t212 -56.5t212 56.5t153.5 153.5t56.5 212t-56.5 212t-153.5 153.5t-212 56.5zM600 794q80 0 137 -57t57 -137t-57 -137t-137 -57t-137 57t-57 137t57 137t137 57z" />
<glyph unicode="&#xe166;" d="M450 1200h200q21 0 35.5 -14.5t14.5 -35.5v-350h245q20 0 25 -11t-9 -26l-383 -426q-14 -15 -33.5 -15t-32.5 15l-379 426q-13 15 -8.5 26t25.5 11h250v350q0 21 14.5 35.5t35.5 14.5zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe167;" d="M583 1182l378 -435q14 -15 9 -31t-26 -16h-244v-250q0 -20 -17 -35t-39 -15h-200q-20 0 -32 14.5t-12 35.5v250h-250q-20 0 -25.5 16.5t8.5 31.5l383 431q14 16 33.5 17t33.5 -14zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe168;" d="M396 723l369 369q7 7 17.5 7t17.5 -7l139 -139q7 -8 7 -18.5t-7 -17.5l-525 -525q-7 -8 -17.5 -8t-17.5 8l-292 291q-7 8 -7 18t7 18l139 139q8 7 18.5 7t17.5 -7zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50 h-100z" />
<glyph unicode="&#xe169;" d="M135 1023l142 142q14 14 35 14t35 -14l77 -77l-212 -212l-77 76q-14 15 -14 36t14 35zM655 855l210 210q14 14 24.5 10t10.5 -25l-2 -599q-1 -20 -15.5 -35t-35.5 -15l-597 -1q-21 0 -25 10.5t10 24.5l208 208l-154 155l212 212zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5 v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe170;" d="M350 1200l599 -2q20 -1 35 -15.5t15 -35.5l1 -597q0 -21 -10.5 -25t-24.5 10l-208 208l-155 -154l-212 212l155 154l-210 210q-14 14 -10 24.5t25 10.5zM524 512l-76 -77q-15 -14 -36 -14t-35 14l-142 142q-14 14 -14 35t14 35l77 77zM50 300h1000q21 0 35.5 -14.5 t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe171;" d="M1200 103l-483 276l-314 -399v423h-399l1196 796v-1096zM483 424v-230l683 953z" />
<glyph unicode="&#xe172;" d="M1100 1000v-850q0 -21 -14.5 -35.5t-35.5 -14.5h-150v400h-700v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200z" />
<glyph unicode="&#xe173;" d="M1100 1000l-2 -149l-299 -299l-95 95q-9 9 -21.5 9t-21.5 -9l-149 -147h-312v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1132 638l106 -106q7 -7 7 -17.5t-7 -17.5l-420 -421q-8 -7 -18 -7 t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l297 297q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe174;" d="M1100 1000v-269l-103 -103l-134 134q-15 15 -33.5 16.5t-34.5 -12.5l-266 -266h-329v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1202 572l70 -70q15 -15 15 -35.5t-15 -35.5l-131 -131 l131 -131q15 -15 15 -35.5t-15 -35.5l-70 -70q-15 -15 -35.5 -15t-35.5 15l-131 131l-131 -131q-15 -15 -35.5 -15t-35.5 15l-70 70q-15 15 -15 35.5t15 35.5l131 131l-131 131q-15 15 -15 35.5t15 35.5l70 70q15 15 35.5 15t35.5 -15l131 -131l131 131q15 15 35.5 15 t35.5 -15z" />
<glyph unicode="&#xe175;" d="M1100 1000v-300h-350q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-500v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM850 600h100q21 0 35.5 -14.5t14.5 -35.5v-250h150q21 0 25 -10.5t-10 -24.5 l-230 -230q-14 -14 -35 -14t-35 14l-230 230q-14 14 -10 24.5t25 10.5h150v250q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe176;" d="M1100 1000v-400l-165 165q-14 15 -35 15t-35 -15l-263 -265h-402v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM935 565l230 -229q14 -15 10 -25.5t-25 -10.5h-150v-250q0 -20 -14.5 -35 t-35.5 -15h-100q-21 0 -35.5 15t-14.5 35v250h-150q-21 0 -25 10.5t10 25.5l230 229q14 15 35 15t35 -15z" />
<glyph unicode="&#xe177;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-150h-1200v150q0 21 14.5 35.5t35.5 14.5zM1200 800v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v550h1200zM100 500v-200h400v200h-400z" />
<glyph unicode="&#xe178;" d="M935 1165l248 -230q14 -14 14 -35t-14 -35l-248 -230q-14 -14 -24.5 -10t-10.5 25v150h-400v200h400v150q0 21 10.5 25t24.5 -10zM200 800h-50q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v-200zM400 800h-100v200h100v-200zM18 435l247 230 q14 14 24.5 10t10.5 -25v-150h400v-200h-400v-150q0 -21 -10.5 -25t-24.5 10l-247 230q-15 14 -15 35t15 35zM900 300h-100v200h100v-200zM1000 500h51q20 0 34.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-34.5 -14.5h-51v200z" />
<glyph unicode="&#xe179;" d="M862 1073l276 116q25 18 43.5 8t18.5 -41v-1106q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v397q-4 1 -11 5t-24 17.5t-30 29t-24 42t-11 56.5v359q0 31 18.5 65t43.5 52zM550 1200q22 0 34.5 -12.5t14.5 -24.5l1 -13v-450q0 -28 -10.5 -59.5 t-25 -56t-29 -45t-25.5 -31.5l-10 -11v-447q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v447q-4 4 -11 11.5t-24 30.5t-30 46t-24 55t-11 60v450q0 2 0.5 5.5t4 12t8.5 15t14.5 12t22.5 5.5q20 0 32.5 -12.5t14.5 -24.5l3 -13v-350h100v350v5.5t2.5 12 t7 15t15 12t25.5 5.5q23 0 35.5 -12.5t13.5 -24.5l1 -13v-350h100v350q0 2 0.5 5.5t3 12t7 15t15 12t24.5 5.5z" />
<glyph unicode="&#xe180;" d="M1200 1100v-56q-4 0 -11 -0.5t-24 -3t-30 -7.5t-24 -15t-11 -24v-888q0 -22 25 -34.5t50 -13.5l25 -2v-56h-400v56q75 0 87.5 6.5t12.5 43.5v394h-500v-394q0 -37 12.5 -43.5t87.5 -6.5v-56h-400v56q4 0 11 0.5t24 3t30 7.5t24 15t11 24v888q0 22 -25 34.5t-50 13.5 l-25 2v56h400v-56q-75 0 -87.5 -6.5t-12.5 -43.5v-394h500v394q0 37 -12.5 43.5t-87.5 6.5v56h400z" />
<glyph unicode="&#xe181;" d="M675 1000h375q21 0 35.5 -14.5t14.5 -35.5v-150h-105l-295 -98v98l-200 200h-400l100 100h375zM100 900h300q41 0 70.5 -29.5t29.5 -70.5v-500q0 -41 -29.5 -70.5t-70.5 -29.5h-300q-41 0 -70.5 29.5t-29.5 70.5v500q0 41 29.5 70.5t70.5 29.5zM100 800v-200h300v200 h-300zM1100 535l-400 -133v163l400 133v-163zM100 500v-200h300v200h-300zM1100 398v-248q0 -21 -14.5 -35.5t-35.5 -14.5h-375l-100 -100h-375l-100 100h400l200 200h105z" />
<glyph unicode="&#xe182;" d="M17 1007l162 162q17 17 40 14t37 -22l139 -194q14 -20 11 -44.5t-20 -41.5l-119 -118q102 -142 228 -268t267 -227l119 118q17 17 42.5 19t44.5 -12l192 -136q19 -14 22.5 -37.5t-13.5 -40.5l-163 -162q-3 -1 -9.5 -1t-29.5 2t-47.5 6t-62.5 14.5t-77.5 26.5t-90 42.5 t-101.5 60t-111 83t-119 108.5q-74 74 -133.5 150.5t-94.5 138.5t-60 119.5t-34.5 100t-15 74.5t-4.5 48z" />
<glyph unicode="&#xe183;" d="M600 1100q92 0 175 -10.5t141.5 -27t108.5 -36.5t81.5 -40t53.5 -37t31 -27l9 -10v-200q0 -21 -14.5 -33t-34.5 -9l-202 34q-20 3 -34.5 20t-14.5 38v146q-141 24 -300 24t-300 -24v-146q0 -21 -14.5 -38t-34.5 -20l-202 -34q-20 -3 -34.5 9t-14.5 33v200q3 4 9.5 10.5 t31 26t54 37.5t80.5 39.5t109 37.5t141 26.5t175 10.5zM600 795q56 0 97 -9.5t60 -23.5t30 -28t12 -24l1 -10v-50l365 -303q14 -15 24.5 -40t10.5 -45v-212q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v212q0 20 10.5 45t24.5 40l365 303v50 q0 4 1 10.5t12 23t30 29t60 22.5t97 10z" />
<glyph unicode="&#xe184;" d="M1100 700l-200 -200h-600l-200 200v500h200v-200h200v200h200v-200h200v200h200v-500zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5 t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe185;" d="M700 1100h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-1000h300v1000q0 41 -29.5 70.5t-70.5 29.5zM1100 800h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-700h300v700q0 41 -29.5 70.5t-70.5 29.5zM400 0h-300v400q0 41 29.5 70.5t70.5 29.5h100q41 0 70.5 -29.5t29.5 -70.5v-400z " />
<glyph unicode="&#xe186;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe187;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 300h-100v200h-100v-200h-100v500h100v-200h100v200h100v-500zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe188;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-300h200v-100h-300v500h300v-100zM900 700h-200v-300h200v-100h-300v500h300v-100z" />
<glyph unicode="&#xe189;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 400l-300 150l300 150v-300zM900 550l-300 -150v300z" />
<glyph unicode="&#xe190;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM900 300h-700v500h700v-500zM800 700h-130q-38 0 -66.5 -43t-28.5 -108t27 -107t68 -42h130v300zM300 700v-300 h130q41 0 68 42t27 107t-28.5 108t-66.5 43h-130z" />
<glyph unicode="&#xe191;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 300h-100v400h-100v100h200v-500z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe192;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM300 700h200v-400h-300v500h100v-100zM900 300h-100v400h-100v100h200v-500zM300 600v-200h100v200h-100z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe193;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 500l-199 -200h-100v50l199 200v150h-200v100h300v-300zM900 300h-100v400h-100v100h200v-500zM701 300h-100 v100h100v-100z" />
<glyph unicode="&#xe194;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700h-300v-200h300v-100h-300l-100 100v200l100 100h300v-100z" />
<glyph unicode="&#xe195;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700v-100l-50 -50l100 -100v-50h-100l-100 100h-150v-100h-100v400h300zM500 700v-100h200v100h-200z" />
<glyph unicode="&#xe197;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -207t-85 -207t-205 -86.5h-128v250q0 21 -14.5 35.5t-35.5 14.5h-300q-21 0 -35.5 -14.5t-14.5 -35.5v-250h-222q-80 0 -136 57.5t-56 136.5q0 69 43 122.5t108 67.5q-2 19 -2 37q0 100 49 185 t134 134t185 49zM525 500h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -244q-13 -16 -32 -16t-32 16l-223 244q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe198;" d="M502 1089q110 0 201 -59.5t135 -156.5q43 15 89 15q121 0 206 -86.5t86 -206.5q0 -99 -60 -181t-150 -110l-378 360q-13 16 -31.5 16t-31.5 -16l-381 -365h-9q-79 0 -135.5 57.5t-56.5 136.5q0 69 43 122.5t108 67.5q-2 19 -2 38q0 100 49 184.5t133.5 134t184.5 49.5z M632 467l223 -228q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5q199 204 223 228q19 19 31.5 19t32.5 -19z" />
<glyph unicode="&#xe199;" d="M700 100v100h400l-270 300h170l-270 300h170l-300 333l-300 -333h170l-270 -300h170l-270 -300h400v-100h-50q-21 0 -35.5 -14.5t-14.5 -35.5v-50h400v50q0 21 -14.5 35.5t-35.5 14.5h-50z" />
<glyph unicode="&#xe200;" d="M600 1179q94 0 167.5 -56.5t99.5 -145.5q89 -6 150.5 -71.5t61.5 -155.5q0 -61 -29.5 -112.5t-79.5 -82.5q9 -29 9 -55q0 -74 -52.5 -126.5t-126.5 -52.5q-55 0 -100 30v-251q21 0 35.5 -14.5t14.5 -35.5v-50h-300v50q0 21 14.5 35.5t35.5 14.5v251q-45 -30 -100 -30 q-74 0 -126.5 52.5t-52.5 126.5q0 18 4 38q-47 21 -75.5 65t-28.5 97q0 74 52.5 126.5t126.5 52.5q5 0 23 -2q0 2 -1 10t-1 13q0 116 81.5 197.5t197.5 81.5z" />
<glyph unicode="&#xe201;" d="M1010 1010q111 -111 150.5 -260.5t0 -299t-150.5 -260.5q-83 -83 -191.5 -126.5t-218.5 -43.5t-218.5 43.5t-191.5 126.5q-111 111 -150.5 260.5t0 299t150.5 260.5q83 83 191.5 126.5t218.5 43.5t218.5 -43.5t191.5 -126.5zM476 1065q-4 0 -8 -1q-121 -34 -209.5 -122.5 t-122.5 -209.5q-4 -12 2.5 -23t18.5 -14l36 -9q3 -1 7 -1q23 0 29 22q27 96 98 166q70 71 166 98q11 3 17.5 13.5t3.5 22.5l-9 35q-3 13 -14 19q-7 4 -15 4zM512 920q-4 0 -9 -2q-80 -24 -138.5 -82.5t-82.5 -138.5q-4 -13 2 -24t19 -14l34 -9q4 -1 8 -1q22 0 28 21 q18 58 58.5 98.5t97.5 58.5q12 3 18 13.5t3 21.5l-9 35q-3 12 -14 19q-7 4 -15 4zM719.5 719.5q-49.5 49.5 -119.5 49.5t-119.5 -49.5t-49.5 -119.5t49.5 -119.5t119.5 -49.5t119.5 49.5t49.5 119.5t-49.5 119.5zM855 551q-22 0 -28 -21q-18 -58 -58.5 -98.5t-98.5 -57.5 q-11 -4 -17 -14.5t-3 -21.5l9 -35q3 -12 14 -19q7 -4 15 -4q4 0 9 2q80 24 138.5 82.5t82.5 138.5q4 13 -2.5 24t-18.5 14l-34 9q-4 1 -8 1zM1000 515q-23 0 -29 -22q-27 -96 -98 -166q-70 -71 -166 -98q-11 -3 -17.5 -13.5t-3.5 -22.5l9 -35q3 -13 14 -19q7 -4 15 -4 q4 0 8 1q121 34 209.5 122.5t122.5 209.5q4 12 -2.5 23t-18.5 14l-36 9q-3 1 -7 1z" />
<glyph unicode="&#xe202;" d="M700 800h300v-380h-180v200h-340v-200h-380v755q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM700 300h162l-212 -212l-212 212h162v200h100v-200zM520 0h-395q-10 0 -17.5 7.5t-7.5 17.5v395zM1000 220v-195q0 -10 -7.5 -17.5t-17.5 -7.5h-195z" />
<glyph unicode="&#xe203;" d="M700 800h300v-520l-350 350l-550 -550v1095q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM862 200h-162v-200h-100v200h-162l212 212zM480 0h-355q-10 0 -17.5 7.5t-7.5 17.5v55h380v-80zM1000 80v-55q0 -10 -7.5 -17.5t-17.5 -7.5h-155v80h180z" />
<glyph unicode="&#xe204;" d="M1162 800h-162v-200h100l100 -100h-300v300h-162l212 212zM200 800h200q27 0 40 -2t29.5 -10.5t23.5 -30t7 -57.5h300v-100h-600l-200 -350v450h100q0 36 7 57.5t23.5 30t29.5 10.5t40 2zM800 400h240l-240 -400h-800l300 500h500v-100z" />
<glyph unicode="&#xe205;" d="M650 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM1000 850v150q41 0 70.5 -29.5t29.5 -70.5v-800 q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-1 0 -20 4l246 246l-326 326v324q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM412 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe206;" d="M450 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM800 850v150q41 0 70.5 -29.5t29.5 -70.5v-500 h-200v-300h200q0 -36 -7 -57.5t-23.5 -30t-29.5 -10.5t-40 -2h-600q-41 0 -70.5 29.5t-29.5 70.5v800q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM1212 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe209;" d="M658 1197l637 -1104q23 -38 7 -65.5t-60 -27.5h-1276q-44 0 -60 27.5t7 65.5l637 1104q22 39 54 39t54 -39zM704 800h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM500 300v-100h200 v100h-200z" />
<glyph unicode="&#xe210;" d="M425 1100h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM825 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM25 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5zM425 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5 v150q0 10 7.5 17.5t17.5 7.5zM25 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe211;" d="M700 1200h100v-200h-100v-100h350q62 0 86.5 -39.5t-3.5 -94.5l-66 -132q-41 -83 -81 -134h-772q-40 51 -81 134l-66 132q-28 55 -3.5 94.5t86.5 39.5h350v100h-100v200h100v100h200v-100zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100 h-950l138 100h-13q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe212;" d="M600 1300q40 0 68.5 -29.5t28.5 -70.5h-194q0 41 28.5 70.5t68.5 29.5zM443 1100h314q18 -37 18 -75q0 -8 -3 -25h328q41 0 44.5 -16.5t-30.5 -38.5l-175 -145h-678l-178 145q-34 22 -29 38.5t46 16.5h328q-3 17 -3 25q0 38 18 75zM250 700h700q21 0 35.5 -14.5 t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-150v-200l275 -200h-950l275 200v200h-150q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe213;" d="M600 1181q75 0 128 -53t53 -128t-53 -128t-128 -53t-128 53t-53 128t53 128t128 53zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13 l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe214;" d="M600 1300q47 0 92.5 -53.5t71 -123t25.5 -123.5q0 -78 -55.5 -133.5t-133.5 -55.5t-133.5 55.5t-55.5 133.5q0 62 34 143l144 -143l111 111l-163 163q34 26 63 26zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45 zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe215;" d="M600 1200l300 -161v-139h-300q0 -57 18.5 -108t50 -91.5t63 -72t70 -67.5t57.5 -61h-530q-60 83 -90.5 177.5t-30.5 178.5t33 164.5t87.5 139.5t126 96.5t145.5 41.5v-98zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100 h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe216;" d="M600 1300q41 0 70.5 -29.5t29.5 -70.5v-78q46 -26 73 -72t27 -100v-50h-400v50q0 54 27 100t73 72v78q0 41 29.5 70.5t70.5 29.5zM400 800h400q54 0 100 -27t72 -73h-172v-100h200v-100h-200v-100h200v-100h-200v-100h200q0 -83 -58.5 -141.5t-141.5 -58.5h-400 q-83 0 -141.5 58.5t-58.5 141.5v400q0 83 58.5 141.5t141.5 58.5z" />
<glyph unicode="&#xe218;" d="M150 1100h900q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM125 400h950q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-283l224 -224q13 -13 13 -31.5t-13 -32 t-31.5 -13.5t-31.5 13l-88 88h-524l-87 -88q-13 -13 -32 -13t-32 13.5t-13 32t13 31.5l224 224h-289q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM541 300l-100 -100h324l-100 100h-124z" />
<glyph unicode="&#xe219;" d="M200 1100h800q83 0 141.5 -58.5t58.5 -141.5v-200h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100v200q0 83 58.5 141.5t141.5 58.5zM100 600h1000q41 0 70.5 -29.5 t29.5 -70.5v-300h-1200v300q0 41 29.5 70.5t70.5 29.5zM300 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200zM1100 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200z" />
<glyph unicode="&#xe221;" d="M480 1165l682 -683q31 -31 31 -75.5t-31 -75.5l-131 -131h-481l-517 518q-32 31 -32 75.5t32 75.5l295 296q31 31 75.5 31t76.5 -31zM108 794l342 -342l303 304l-341 341zM250 100h800q21 0 35.5 -14.5t14.5 -35.5v-50h-900v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe223;" d="M1057 647l-189 506q-8 19 -27.5 33t-40.5 14h-400q-21 0 -40.5 -14t-27.5 -33l-189 -506q-8 -19 1.5 -33t30.5 -14h625v-150q0 -21 14.5 -35.5t35.5 -14.5t35.5 14.5t14.5 35.5v150h125q21 0 30.5 14t1.5 33zM897 0h-595v50q0 21 14.5 35.5t35.5 14.5h50v50 q0 21 14.5 35.5t35.5 14.5h48v300h200v-300h47q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-50z" />
<glyph unicode="&#xe224;" d="M900 800h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-375v591l-300 300v84q0 10 7.5 17.5t17.5 7.5h375v-400zM1200 900h-200v200zM400 600h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-650q-10 0 -17.5 7.5t-7.5 17.5v950q0 10 7.5 17.5t17.5 7.5h375v-400zM700 700h-200v200z " />
<glyph unicode="&#xe225;" d="M484 1095h195q75 0 146 -32.5t124 -86t89.5 -122.5t48.5 -142q18 -14 35 -20q31 -10 64.5 6.5t43.5 48.5q10 34 -15 71q-19 27 -9 43q5 8 12.5 11t19 -1t23.5 -16q41 -44 39 -105q-3 -63 -46 -106.5t-104 -43.5h-62q-7 -55 -35 -117t-56 -100l-39 -234q-3 -20 -20 -34.5 t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l12 70q-49 -14 -91 -14h-195q-24 0 -65 8l-11 -64q-3 -20 -20 -34.5t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l26 157q-84 74 -128 175l-159 53q-19 7 -33 26t-14 40v50q0 21 14.5 35.5t35.5 14.5h124q11 87 56 166l-111 95 q-16 14 -12.5 23.5t24.5 9.5h203q116 101 250 101zM675 1000h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h250q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe226;" d="M641 900l423 247q19 8 42 2.5t37 -21.5l32 -38q14 -15 12.5 -36t-17.5 -34l-139 -120h-390zM50 1100h106q67 0 103 -17t66 -71l102 -212h823q21 0 35.5 -14.5t14.5 -35.5v-50q0 -21 -14 -40t-33 -26l-737 -132q-23 -4 -40 6t-26 25q-42 67 -100 67h-300q-62 0 -106 44 t-44 106v200q0 62 44 106t106 44zM173 928h-80q-19 0 -28 -14t-9 -35v-56q0 -51 42 -51h134q16 0 21.5 8t5.5 24q0 11 -16 45t-27 51q-18 28 -43 28zM550 727q-32 0 -54.5 -22.5t-22.5 -54.5t22.5 -54.5t54.5 -22.5t54.5 22.5t22.5 54.5t-22.5 54.5t-54.5 22.5zM130 389 l152 130q18 19 34 24t31 -3.5t24.5 -17.5t25.5 -28q28 -35 50.5 -51t48.5 -13l63 5l48 -179q13 -61 -3.5 -97.5t-67.5 -79.5l-80 -69q-47 -40 -109 -35.5t-103 51.5l-130 151q-40 47 -35.5 109.5t51.5 102.5zM380 377l-102 -88q-31 -27 2 -65l37 -43q13 -15 27.5 -19.5 t31.5 6.5l61 53q19 16 14 49q-2 20 -12 56t-17 45q-11 12 -19 14t-23 -8z" />
<glyph unicode="&#xe227;" d="M625 1200h150q10 0 17.5 -7.5t7.5 -17.5v-109q79 -33 131 -87.5t53 -128.5q1 -46 -15 -84.5t-39 -61t-46 -38t-39 -21.5l-17 -6q6 0 15 -1.5t35 -9t50 -17.5t53 -30t50 -45t35.5 -64t14.5 -84q0 -59 -11.5 -105.5t-28.5 -76.5t-44 -51t-49.5 -31.5t-54.5 -16t-49.5 -6.5 t-43.5 -1v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-100v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-175q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v600h-75q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5h175v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h100v75q0 10 7.5 17.5t17.5 7.5zM400 900v-200h263q28 0 48.5 10.5t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-263zM400 500v-200h363q28 0 48.5 10.5 t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-363z" />
<glyph unicode="&#xe230;" d="M212 1198h780q86 0 147 -61t61 -147v-416q0 -51 -18 -142.5t-36 -157.5l-18 -66q-29 -87 -93.5 -146.5t-146.5 -59.5h-572q-82 0 -147 59t-93 147q-8 28 -20 73t-32 143.5t-20 149.5v416q0 86 61 147t147 61zM600 1045q-70 0 -132.5 -11.5t-105.5 -30.5t-78.5 -41.5 t-57 -45t-36 -41t-20.5 -30.5l-6 -12l156 -243h560l156 243q-2 5 -6 12.5t-20 29.5t-36.5 42t-57 44.5t-79 42t-105 29.5t-132.5 12zM762 703h-157l195 261z" />
<glyph unicode="&#xe231;" d="M475 1300h150q103 0 189 -86t86 -189v-500q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe232;" d="M475 1300h96q0 -150 89.5 -239.5t239.5 -89.5v-446q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe233;" d="M1294 767l-638 -283l-378 170l-78 -60v-224l100 -150v-199l-150 148l-150 -149v200l100 150v250q0 4 -0.5 10.5t0 9.5t1 8t3 8t6.5 6l47 40l-147 65l642 283zM1000 380l-350 -166l-350 166v147l350 -165l350 165v-147z" />
<glyph unicode="&#xe234;" d="M250 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM650 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM1050 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe235;" d="M550 1100q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 700q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 300q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe236;" d="M125 1100h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM125 700h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM125 300h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe237;" d="M350 1200h500q162 0 256 -93.5t94 -256.5v-500q0 -165 -93.5 -257.5t-256.5 -92.5h-500q-165 0 -257.5 92.5t-92.5 257.5v500q0 165 92.5 257.5t257.5 92.5zM900 1000h-600q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h600q41 0 70.5 29.5 t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5zM350 900h500q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-500q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 14.5 35.5t35.5 14.5zM400 800v-200h400v200h-400z" />
<glyph unicode="&#xe238;" d="M150 1100h1000q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe239;" d="M650 1187q87 -67 118.5 -156t0 -178t-118.5 -155q-87 66 -118.5 155t0 178t118.5 156zM300 800q124 0 212 -88t88 -212q-124 0 -212 88t-88 212zM1000 800q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM300 500q124 0 212 -88t88 -212q-124 0 -212 88t-88 212z M1000 500q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM700 199v-144q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v142q40 -4 43 -4q17 0 57 6z" />
<glyph unicode="&#xe240;" d="M745 878l69 19q25 6 45 -12l298 -295q11 -11 15 -26.5t-2 -30.5q-5 -14 -18 -23.5t-28 -9.5h-8q1 0 1 -13q0 -29 -2 -56t-8.5 -62t-20 -63t-33 -53t-51 -39t-72.5 -14h-146q-184 0 -184 288q0 24 10 47q-20 4 -62 4t-63 -4q11 -24 11 -47q0 -288 -184 -288h-142 q-48 0 -84.5 21t-56 51t-32 71.5t-16 75t-3.5 68.5q0 13 2 13h-7q-15 0 -27.5 9.5t-18.5 23.5q-6 15 -2 30.5t15 25.5l298 296q20 18 46 11l76 -19q20 -5 30.5 -22.5t5.5 -37.5t-22.5 -31t-37.5 -5l-51 12l-182 -193h891l-182 193l-44 -12q-20 -5 -37.5 6t-22.5 31t6 37.5 t31 22.5z" />
<glyph unicode="&#xe241;" d="M1200 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM500 450h-25q0 15 -4 24.5t-9 14.5t-17 7.5t-20 3t-25 0.5h-100v-425q0 -11 12.5 -17.5t25.5 -7.5h12v-50h-200v50q50 0 50 25v425h-100q-17 0 -25 -0.5t-20 -3t-17 -7.5t-9 -14.5t-4 -24.5h-25v150h500v-150z" />
<glyph unicode="&#xe242;" d="M1000 300v50q-25 0 -55 32q-14 14 -25 31t-16 27l-4 11l-289 747h-69l-300 -754q-18 -35 -39 -56q-9 -9 -24.5 -18.5t-26.5 -14.5l-11 -5v-50h273v50q-49 0 -78.5 21.5t-11.5 67.5l69 176h293l61 -166q13 -34 -3.5 -66.5t-55.5 -32.5v-50h312zM412 691l134 342l121 -342 h-255zM1100 150v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe243;" d="M50 1200h1100q21 0 35.5 -14.5t14.5 -35.5v-1100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5zM611 1118h-70q-13 0 -18 -12l-299 -753q-17 -32 -35 -51q-18 -18 -56 -34q-12 -5 -12 -18v-50q0 -8 5.5 -14t14.5 -6 h273q8 0 14 6t6 14v50q0 8 -6 14t-14 6q-55 0 -71 23q-10 14 0 39l63 163h266l57 -153q11 -31 -6 -55q-12 -17 -36 -17q-8 0 -14 -6t-6 -14v-50q0 -8 6 -14t14 -6h313q8 0 14 6t6 14v50q0 7 -5.5 13t-13.5 7q-17 0 -42 25q-25 27 -40 63h-1l-288 748q-5 12 -19 12zM639 611 h-197l103 264z" />
<glyph unicode="&#xe244;" d="M1200 1100h-1200v100h1200v-100zM50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 1000h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM700 900v-300h300v300h-300z" />
<glyph unicode="&#xe245;" d="M50 1200h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 700h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM700 600v-300h300v300h-300zM1200 0h-1200v100h1200v-100z" />
<glyph unicode="&#xe246;" d="M50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-350h100v150q0 21 14.5 35.5t35.5 14.5h400q21 0 35.5 -14.5t14.5 -35.5v-150h100v-100h-100v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v150h-100v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM700 700v-300h300v300h-300z" />
<glyph unicode="&#xe247;" d="M100 0h-100v1200h100v-1200zM250 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM300 1000v-300h300v300h-300zM250 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe248;" d="M600 1100h150q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-100h450q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h350v100h-150q-21 0 -35.5 14.5 t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h150v100h100v-100zM400 1000v-300h300v300h-300z" />
<glyph unicode="&#xe249;" d="M1200 0h-100v1200h100v-1200zM550 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM600 1000v-300h300v300h-300zM50 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe250;" d="M865 565l-494 -494q-23 -23 -41 -23q-14 0 -22 13.5t-8 38.5v1000q0 25 8 38.5t22 13.5q18 0 41 -23l494 -494q14 -14 14 -35t-14 -35z" />
<glyph unicode="&#xe251;" d="M335 635l494 494q29 29 50 20.5t21 -49.5v-1000q0 -41 -21 -49.5t-50 20.5l-494 494q-14 14 -14 35t14 35z" />
<glyph unicode="&#xe252;" d="M100 900h1000q41 0 49.5 -21t-20.5 -50l-494 -494q-14 -14 -35 -14t-35 14l-494 494q-29 29 -20.5 50t49.5 21z" />
<glyph unicode="&#xe253;" d="M635 865l494 -494q29 -29 20.5 -50t-49.5 -21h-1000q-41 0 -49.5 21t20.5 50l494 494q14 14 35 14t35 -14z" />
<glyph unicode="&#xe254;" d="M700 741v-182l-692 -323v221l413 193l-413 193v221zM1200 0h-800v200h800v-200z" />
<glyph unicode="&#xe255;" d="M1200 900h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300zM0 700h50q0 21 4 37t9.5 26.5t18 17.5t22 11t28.5 5.5t31 2t37 0.5h100v-550q0 -22 -25 -34.5t-50 -13.5l-25 -2v-100h400v100q-4 0 -11 0.5t-24 3t-30 7t-24 15t-11 24.5v550h100q25 0 37 -0.5t31 -2 t28.5 -5.5t22 -11t18 -17.5t9.5 -26.5t4 -37h50v300h-800v-300z" />
<glyph unicode="&#xe256;" d="M800 700h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-100v-550q0 -22 25 -34.5t50 -14.5l25 -1v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v550h-100q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h800v-300zM1100 200h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300z" />
<glyph unicode="&#xe257;" d="M701 1098h160q16 0 21 -11t-7 -23l-464 -464l464 -464q12 -12 7 -23t-21 -11h-160q-13 0 -23 9l-471 471q-7 8 -7 18t7 18l471 471q10 9 23 9z" />
<glyph unicode="&#xe258;" d="M339 1098h160q13 0 23 -9l471 -471q7 -8 7 -18t-7 -18l-471 -471q-10 -9 -23 -9h-160q-16 0 -21 11t7 23l464 464l-464 464q-12 12 -7 23t21 11z" />
<glyph unicode="&#xe259;" d="M1087 882q11 -5 11 -21v-160q0 -13 -9 -23l-471 -471q-8 -7 -18 -7t-18 7l-471 471q-9 10 -9 23v160q0 16 11 21t23 -7l464 -464l464 464q12 12 23 7z" />
<glyph unicode="&#xe260;" d="M618 993l471 -471q9 -10 9 -23v-160q0 -16 -11 -21t-23 7l-464 464l-464 -464q-12 -12 -23 -7t-11 21v160q0 13 9 23l471 471q8 7 18 7t18 -7z" />
<glyph unicode="&#xf8ff;" d="M1000 1200q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM450 1000h100q21 0 40 -14t26 -33l79 -194q5 1 16 3q34 6 54 9.5t60 7t65.5 1t61 -10t56.5 -23t42.5 -42t29 -64t5 -92t-19.5 -121.5q-1 -7 -3 -19.5t-11 -50t-20.5 -73t-32.5 -81.5t-46.5 -83t-64 -70 t-82.5 -50q-13 -5 -42 -5t-65.5 2.5t-47.5 2.5q-14 0 -49.5 -3.5t-63 -3.5t-43.5 7q-57 25 -104.5 78.5t-75 111.5t-46.5 112t-26 90l-7 35q-15 63 -18 115t4.5 88.5t26 64t39.5 43.5t52 25.5t58.5 13t62.5 2t59.5 -4.5t55.5 -8l-147 192q-12 18 -5.5 30t27.5 12z" />
<glyph unicode="&#x1f511;" d="M250 1200h600q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-500l-255 -178q-19 -9 -32 -1t-13 29v650h-150q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM400 1100v-100h300v100h-300z" />
<glyph unicode="&#x1f6aa;" d="M250 1200h750q39 0 69.5 -40.5t30.5 -84.5v-933l-700 -117v950l600 125h-700v-1000h-100v1025q0 23 15.5 49t34.5 26zM500 525v-100l100 20v100z" />
</font>
</defs></svg> ) format('svg')}.glyphicon{position:relative;top:1px;display:inline-block;font-family:'Glyphicons Halflings';font-style:normal;font-weight:400;line-height:1;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.glyphicon-asterisk:before{content:"\2a"}.glyphicon-plus:before{content:"\2b"}.glyphicon-eur:before,.glyphicon-euro:before{content:"\20ac"}.glyphicon-minus:before{content:"\2212"}.glyphicon-cloud:before{content:"\2601"}.glyphicon-envelope:before{content:"\2709"}.glyphicon-pencil:before{content:"\270f"}.glyphicon-glass:before{content:"\e001"}.glyphicon-music:before{content:"\e002"}.glyphicon-search:before{content:"\e003"}.glyphicon-heart:before{content:"\e005"}.glyphicon-star:before{content:"\e006"}.glyphicon-star-empty:before{content:"\e007"}.glyphicon-user:before{content:"\e008"}.glyphicon-film:before{content:"\e009"}.glyphicon-th-large:before{content:"\e010"}.glyphicon-th:before{content:"\e011"}.glyphicon-th-list:before{content:"\e012"}.glyphicon-ok:before{content:"\e013"}.glyphicon-remove:before{content:"\e014"}.glyphicon-zoom-in:before{content:"\e015"}.glyphicon-zoom-out:before{content:"\e016"}.glyphicon-off:before{content:"\e017"}.glyphicon-signal:before{content:"\e018"}.glyphicon-cog:before{content:"\e019"}.glyphicon-trash:before{content:"\e020"}.glyphicon-home:before{content:"\e021"}.glyphicon-file:before{content:"\e022"}.glyphicon-time:before{content:"\e023"}.glyphicon-road:before{content:"\e024"}.glyphicon-download-alt:before{content:"\e025"}.glyphicon-download:before{content:"\e026"}.glyphicon-upload:before{content:"\e027"}.glyphicon-inbox:before{content:"\e028"}.glyphicon-play-circle:before{content:"\e029"}.glyphicon-repeat:before{content:"\e030"}.glyphicon-refresh:before{content:"\e031"}.glyphicon-list-alt:before{content:"\e032"}.glyphicon-lock:before{content:"\e033"}.glyphicon-flag:before{content:"\e034"}.glyphicon-headphones:before{content:"\e035"}.glyphicon-volume-off:before{content:"\e036"}.glyphicon-volume-down:before{content:"\e037"}.glyphicon-volume-up:before{content:"\e038"}.glyphicon-qrcode:before{content:"\e039"}.glyphicon-barcode:before{content:"\e040"}.glyphicon-tag:before{content:"\e041"}.glyphicon-tags:before{content:"\e042"}.glyphicon-book:before{content:"\e043"}.glyphicon-bookmark:before{content:"\e044"}.glyphicon-print:before{content:"\e045"}.glyphicon-camera:before{content:"\e046"}.glyphicon-font:before{content:"\e047"}.glyphicon-bold:before{content:"\e048"}.glyphicon-italic:before{content:"\e049"}.glyphicon-text-height:before{content:"\e050"}.glyphicon-text-width:before{content:"\e051"}.glyphicon-align-left:before{content:"\e052"}.glyphicon-align-center:before{content:"\e053"}.glyphicon-align-right:before{content:"\e054"}.glyphicon-align-justify:before{content:"\e055"}.glyphicon-list:before{content:"\e056"}.glyphicon-indent-left:before{content:"\e057"}.glyphicon-indent-right:before{content:"\e058"}.glyphicon-facetime-video:before{content:"\e059"}.glyphicon-picture:before{content:"\e060"}.glyphicon-map-marker:before{content:"\e062"}.glyphicon-adjust:before{content:"\e063"}.glyphicon-tint:before{content:"\e064"}.glyphicon-edit:before{content:"\e065"}.glyphicon-share:before{content:"\e066"}.glyphicon-check:before{content:"\e067"}.glyphicon-move:before{content:"\e068"}.glyphicon-step-backward:before{content:"\e069"}.glyphicon-fast-backward:before{content:"\e070"}.glyphicon-backward:before{content:"\e071"}.glyphicon-play:before{content:"\e072"}.glyphicon-pause:before{content:"\e073"}.glyphicon-stop:before{content:"\e074"}.glyphicon-forward:before{content:"\e075"}.glyphicon-fast-forward:before{content:"\e076"}.glyphicon-step-forward:before{content:"\e077"}.glyphicon-eject:before{content:"\e078"}.glyphicon-chevron-left:before{content:"\e079"}.glyphicon-chevron-right:before{content:"\e080"}.glyphicon-plus-sign:before{content:"\e081"}.glyphicon-minus-sign:before{content:"\e082"}.glyphicon-remove-sign:before{content:"\e083"}.glyphicon-ok-sign:before{content:"\e084"}.glyphicon-question-sign:before{content:"\e085"}.glyphicon-info-sign:before{content:"\e086"}.glyphicon-screenshot:before{content:"\e087"}.glyphicon-remove-circle:before{content:"\e088"}.glyphicon-ok-circle:before{content:"\e089"}.glyphicon-ban-circle:before{content:"\e090"}.glyphicon-arrow-left:before{content:"\e091"}.glyphicon-arrow-right:before{content:"\e092"}.glyphicon-arrow-up:before{content:"\e093"}.glyphicon-arrow-down:before{content:"\e094"}.glyphicon-share-alt:before{content:"\e095"}.glyphicon-resize-full:before{content:"\e096"}.glyphicon-resize-small:before{content:"\e097"}.glyphicon-exclamation-sign:before{content:"\e101"}.glyphicon-gift:before{content:"\e102"}.glyphicon-leaf:before{content:"\e103"}.glyphicon-fire:before{content:"\e104"}.glyphicon-eye-open:before{content:"\e105"}.glyphicon-eye-close:before{content:"\e106"}.glyphicon-warning-sign:before{content:"\e107"}.glyphicon-plane:before{content:"\e108"}.glyphicon-calendar:before{content:"\e109"}.glyphicon-random:before{content:"\e110"}.glyphicon-comment:before{content:"\e111"}.glyphicon-magnet:before{content:"\e112"}.glyphicon-chevron-up:before{content:"\e113"}.glyphicon-chevron-down:before{content:"\e114"}.glyphicon-retweet:before{content:"\e115"}.glyphicon-shopping-cart:before{content:"\e116"}.glyphicon-folder-close:before{content:"\e117"}.glyphicon-folder-open:before{content:"\e118"}.glyphicon-resize-vertical:before{content:"\e119"}.glyphicon-resize-horizontal:before{content:"\e120"}.glyphicon-hdd:before{content:"\e121"}.glyphicon-bullhorn:before{content:"\e122"}.glyphicon-bell:before{content:"\e123"}.glyphicon-certificate:before{content:"\e124"}.glyphicon-thumbs-up:before{content:"\e125"}.glyphicon-thumbs-down:before{content:"\e126"}.glyphicon-hand-right:before{content:"\e127"}.glyphicon-hand-left:before{content:"\e128"}.glyphicon-hand-up:before{content:"\e129"}.glyphicon-hand-down:before{content:"\e130"}.glyphicon-circle-arrow-right:before{content:"\e131"}.glyphicon-circle-arrow-left:before{content:"\e132"}.glyphicon-circle-arrow-up:before{content:"\e133"}.glyphicon-circle-arrow-down:before{content:"\e134"}.glyphicon-globe:before{content:"\e135"}.glyphicon-wrench:before{content:"\e136"}.glyphicon-tasks:before{content:"\e137"}.glyphicon-filter:before{content:"\e138"}.glyphicon-briefcase:before{content:"\e139"}.glyphicon-fullscreen:before{content:"\e140"}.glyphicon-dashboard:before{content:"\e141"}.glyphicon-paperclip:before{content:"\e142"}.glyphicon-heart-empty:before{content:"\e143"}.glyphicon-link:before{content:"\e144"}.glyphicon-phone:before{content:"\e145"}.glyphicon-pushpin:before{content:"\e146"}.glyphicon-usd:before{content:"\e148"}.glyphicon-gbp:before{content:"\e149"}.glyphicon-sort:before{content:"\e150"}.glyphicon-sort-by-alphabet:before{content:"\e151"}.glyphicon-sort-by-alphabet-alt:before{content:"\e152"}.glyphicon-sort-by-order:before{content:"\e153"}.glyphicon-sort-by-order-alt:before{content:"\e154"}.glyphicon-sort-by-attributes:before{content:"\e155"}.glyphicon-sort-by-attributes-alt:before{content:"\e156"}.glyphicon-unchecked:before{content:"\e157"}.glyphicon-expand:before{content:"\e158"}.glyphicon-collapse-down:before{content:"\e159"}.glyphicon-collapse-up:before{content:"\e160"}.glyphicon-log-in:before{content:"\e161"}.glyphicon-flash:before{content:"\e162"}.glyphicon-log-out:before{content:"\e163"}.glyphicon-new-window:before{content:"\e164"}.glyphicon-record:before{content:"\e165"}.glyphicon-save:before{content:"\e166"}.glyphicon-open:before{content:"\e167"}.glyphicon-saved:before{content:"\e168"}.glyphicon-import:before{content:"\e169"}.glyphicon-export:before{content:"\e170"}.glyphicon-send:before{content:"\e171"}.glyphicon-floppy-disk:before{content:"\e172"}.glyphicon-floppy-saved:before{content:"\e173"}.glyphicon-floppy-remove:before{content:"\e174"}.glyphicon-floppy-save:before{content:"\e175"}.glyphicon-floppy-open:before{content:"\e176"}.glyphicon-credit-card:before{content:"\e177"}.glyphicon-transfer:before{content:"\e178"}.glyphicon-cutlery:before{content:"\e179"}.glyphicon-header:before{content:"\e180"}.glyphicon-compressed:before{content:"\e181"}.glyphicon-earphone:before{content:"\e182"}.glyphicon-phone-alt:before{content:"\e183"}.glyphicon-tower:before{content:"\e184"}.glyphicon-stats:before{content:"\e185"}.glyphicon-sd-video:before{content:"\e186"}.glyphicon-hd-video:before{content:"\e187"}.glyphicon-subtitles:before{content:"\e188"}.glyphicon-sound-stereo:before{content:"\e189"}.glyphicon-sound-dolby:before{content:"\e190"}.glyphicon-sound-5-1:before{content:"\e191"}.glyphicon-sound-6-1:before{content:"\e192"}.glyphicon-sound-7-1:before{content:"\e193"}.glyphicon-copyright-mark:before{content:"\e194"}.glyphicon-registration-mark:before{content:"\e195"}.glyphicon-cloud-download:before{content:"\e197"}.glyphicon-cloud-upload:before{content:"\e198"}.glyphicon-tree-conifer:before{content:"\e199"}.glyphicon-tree-deciduous:before{content:"\e200"}.glyphicon-cd:before{content:"\e201"}.glyphicon-save-file:before{content:"\e202"}.glyphicon-open-file:before{content:"\e203"}.glyphicon-level-up:before{content:"\e204"}.glyphicon-copy:before{content:"\e205"}.glyphicon-paste:before{content:"\e206"}.glyphicon-alert:before{content:"\e209"}.glyphicon-equalizer:before{content:"\e210"}.glyphicon-king:before{content:"\e211"}.glyphicon-queen:before{content:"\e212"}.glyphicon-pawn:before{content:"\e213"}.glyphicon-bishop:before{content:"\e214"}.glyphicon-knight:before{content:"\e215"}.glyphicon-baby-formula:before{content:"\e216"}.glyphicon-tent:before{content:"\26fa"}.glyphicon-blackboard:before{content:"\e218"}.glyphicon-bed:before{content:"\e219"}.glyphicon-apple:before{content:"\f8ff"}.glyphicon-erase:before{content:"\e221"}.glyphicon-hourglass:before{content:"\231b"}.glyphicon-lamp:before{content:"\e223"}.glyphicon-duplicate:before{content:"\e224"}.glyphicon-piggy-bank:before{content:"\e225"}.glyphicon-scissors:before{content:"\e226"}.glyphicon-bitcoin:before{content:"\e227"}.glyphicon-btc:before{content:"\e227"}.glyphicon-xbt:before{content:"\e227"}.glyphicon-yen:before{content:"\00a5"}.glyphicon-jpy:before{content:"\00a5"}.glyphicon-ruble:before{content:"\20bd"}.glyphicon-rub:before{content:"\20bd"}.glyphicon-scale:before{content:"\e230"}.glyphicon-ice-lolly:before{content:"\e231"}.glyphicon-ice-lolly-tasted:before{content:"\e232"}.glyphicon-education:before{content:"\e233"}.glyphicon-option-horizontal:before{content:"\e234"}.glyphicon-option-vertical:before{content:"\e235"}.glyphicon-menu-hamburger:before{content:"\e236"}.glyphicon-modal-window:before{content:"\e237"}.glyphicon-oil:before{content:"\e238"}.glyphicon-grain:before{content:"\e239"}.glyphicon-sunglasses:before{content:"\e240"}.glyphicon-text-size:before{content:"\e241"}.glyphicon-text-color:before{content:"\e242"}.glyphicon-text-background:before{content:"\e243"}.glyphicon-object-align-top:before{content:"\e244"}.glyphicon-object-align-bottom:before{content:"\e245"}.glyphicon-object-align-horizontal:before{content:"\e246"}.glyphicon-object-align-left:before{content:"\e247"}.glyphicon-object-align-vertical:before{content:"\e248"}.glyphicon-object-align-right:before{content:"\e249"}.glyphicon-triangle-right:before{content:"\e250"}.glyphicon-triangle-left:before{content:"\e251"}.glyphicon-triangle-bottom:before{content:"\e252"}.glyphicon-triangle-top:before{content:"\e253"}.glyphicon-console:before{content:"\e254"}.glyphicon-superscript:before{content:"\e255"}.glyphicon-subscript:before{content:"\e256"}.glyphicon-menu-left:before{content:"\e257"}.glyphicon-menu-right:before{content:"\e258"}.glyphicon-menu-down:before{content:"\e259"}.glyphicon-menu-up:before{content:"\e260"}*{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}:after,:before{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}html{font-size:10px;-webkit-tap-highlight-color:rgba(0,0,0,0)}body{font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;line-height:1.42857143;color:#333;background-color:#fff}button,input,select,textarea{font-family:inherit;font-size:inherit;line-height:inherit}a{color:#337ab7;text-decoration:none}a:focus,a:hover{color:#23527c;text-decoration:underline}a:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}figure{margin:0}img{vertical-align:middle}.carousel-inner>.item>a>img,.carousel-inner>.item>img,.img-responsive,.thumbnail a>img,.thumbnail>img{display:block;max-width:100%;height:auto}.img-rounded{border-radius:6px}.img-thumbnail{display:inline-block;max-width:100%;height:auto;padding:4px;line-height:1.42857143;background-color:#fff;border:1px solid #ddd;border-radius:4px;-webkit-transition:all .2s ease-in-out;-o-transition:all .2s ease-in-out;transition:all .2s ease-in-out}.img-circle{border-radius:50%}hr{margin-top:20px;margin-bottom:20px;border:0;border-top:1px solid #eee}.sr-only{position:absolute;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0,0,0,0);border:0}.sr-only-focusable:active,.sr-only-focusable:focus{position:static;width:auto;height:auto;margin:0;overflow:visible;clip:auto}[role=button]{cursor:pointer}.h1,.h2,.h3,.h4,.h5,.h6,h1,h2,h3,h4,h5,h6{font-family:inherit;font-weight:500;line-height:1.1;color:inherit}.h1 .small,.h1 small,.h2 .small,.h2 small,.h3 .small,.h3 small,.h4 .small,.h4 small,.h5 .small,.h5 small,.h6 .small,.h6 small,h1 .small,h1 small,h2 .small,h2 small,h3 .small,h3 small,h4 .small,h4 small,h5 .small,h5 small,h6 .small,h6 small{font-weight:400;line-height:1;color:#777}.h1,.h2,.h3,h1,h2,h3{margin-top:20px;margin-bottom:10px}.h1 .small,.h1 small,.h2 .small,.h2 small,.h3 .small,.h3 small,h1 .small,h1 small,h2 .small,h2 small,h3 .small,h3 small{font-size:65%}.h4,.h5,.h6,h4,h5,h6{margin-top:10px;margin-bottom:10px}.h4 .small,.h4 small,.h5 .small,.h5 small,.h6 .small,.h6 small,h4 .small,h4 small,h5 .small,h5 small,h6 .small,h6 small{font-size:75%}.h1,h1{font-size:36px}.h2,h2{font-size:30px}.h3,h3{font-size:24px}.h4,h4{font-size:18px}.h5,h5{font-size:14px}.h6,h6{font-size:12px}p{margin:0 0 10px}.lead{margin-bottom:20px;font-size:16px;font-weight:300;line-height:1.4}@media (min-width:768px){.lead{font-size:21px}}.small,small{font-size:85%}.mark,mark{padding:.2em;background-color:#fcf8e3}.text-left{text-align:left}.text-right{text-align:right}.text-center{text-align:center}.text-justify{text-align:justify}.text-nowrap{white-space:nowrap}.text-lowercase{text-transform:lowercase}.text-uppercase{text-transform:uppercase}.text-capitalize{text-transform:capitalize}.text-muted{color:#777}.text-primary{color:#337ab7}a.text-primary:focus,a.text-primary:hover{color:#286090}.text-success{color:#3c763d}a.text-success:focus,a.text-success:hover{color:#2b542c}.text-info{color:#31708f}a.text-info:focus,a.text-info:hover{color:#245269}.text-warning{color:#8a6d3b}a.text-warning:focus,a.text-warning:hover{color:#66512c}.text-danger{color:#a94442}a.text-danger:focus,a.text-danger:hover{color:#843534}.bg-primary{color:#fff;background-color:#337ab7}a.bg-primary:focus,a.bg-primary:hover{background-color:#286090}.bg-success{background-color:#dff0d8}a.bg-success:focus,a.bg-success:hover{background-color:#c1e2b3}.bg-info{background-color:#d9edf7}a.bg-info:focus,a.bg-info:hover{background-color:#afd9ee}.bg-warning{background-color:#fcf8e3}a.bg-warning:focus,a.bg-warning:hover{background-color:#f7ecb5}.bg-danger{background-color:#f2dede}a.bg-danger:focus,a.bg-danger:hover{background-color:#e4b9b9}.page-header{padding-bottom:9px;margin:40px 0 20px;border-bottom:1px solid #eee}ol,ul{margin-top:0;margin-bottom:10px}ol ol,ol ul,ul ol,ul ul{margin-bottom:0}.list-unstyled{padding-left:0;list-style:none}.list-inline{padding-left:0;margin-left:-5px;list-style:none}.list-inline>li{display:inline-block;padding-right:5px;padding-left:5px}dl{margin-top:0;margin-bottom:20px}dd,dt{line-height:1.42857143}dt{font-weight:700}dd{margin-left:0}@media (min-width:768px){.dl-horizontal dt{float:left;width:160px;overflow:hidden;clear:left;text-align:right;text-overflow:ellipsis;white-space:nowrap}.dl-horizontal dd{margin-left:180px}}abbr[data-original-title],abbr[title]{cursor:help;border-bottom:1px dotted #777}.initialism{font-size:90%;text-transform:uppercase}blockquote{padding:10px 20px;margin:0 0 20px;font-size:17.5px;border-left:5px solid #eee}blockquote ol:last-child,blockquote p:last-child,blockquote ul:last-child{margin-bottom:0}blockquote .small,blockquote footer,blockquote small{display:block;font-size:80%;line-height:1.42857143;color:#777}blockquote .small:before,blockquote footer:before,blockquote small:before{content:'\2014 \00A0'}.blockquote-reverse,blockquote.pull-right{padding-right:15px;padding-left:0;text-align:right;border-right:5px solid #eee;border-left:0}.blockquote-reverse .small:before,.blockquote-reverse footer:before,.blockquote-reverse small:before,blockquote.pull-right .small:before,blockquote.pull-right footer:before,blockquote.pull-right small:before{content:''}.blockquote-reverse .small:after,.blockquote-reverse footer:after,.blockquote-reverse small:after,blockquote.pull-right .small:after,blockquote.pull-right footer:after,blockquote.pull-right small:after{content:'\00A0 \2014'}address{margin-bottom:20px;font-style:normal;line-height:1.42857143}code,kbd,pre,samp{font-family:monospace}code{padding:2px 4px;font-size:90%;color:#c7254e;background-color:#f9f2f4;border-radius:4px}kbd{padding:2px 4px;font-size:90%;color:#fff;background-color:#333;border-radius:3px;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,.25);box-shadow:inset 0 -1px 0 rgba(0,0,0,.25)}kbd kbd{padding:0;font-size:100%;font-weight:700;-webkit-box-shadow:none;box-shadow:none}pre{display:block;padding:9.5px;margin:0 0 10px;font-size:13px;line-height:1.42857143;color:#333;word-break:break-all;word-wrap:break-word;background-color:#f5f5f5;border:1px solid #ccc;border-radius:4px}pre code{padding:0;font-size:inherit;color:inherit;white-space:pre-wrap;background-color:transparent;border-radius:0}.pre-scrollable{max-height:340px;overflow-y:scroll}.container{padding-right:15px;padding-left:15px;margin-right:auto;margin-left:auto}@media (min-width:768px){.container{width:750px}}@media (min-width:992px){.container{width:970px}}@media (min-width:1200px){.container{width:1170px}}.container-fluid{padding-right:15px;padding-left:15px;margin-right:auto;margin-left:auto}.row{margin-right:-15px;margin-left:-15px}.col-lg-1,.col-lg-10,.col-lg-11,.col-lg-12,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9,.col-md-1,.col-md-10,.col-md-11,.col-md-12,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9,.col-sm-1,.col-sm-10,.col-sm-11,.col-sm-12,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9,.col-xs-1,.col-xs-10,.col-xs-11,.col-xs-12,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9{position:relative;min-height:1px;padding-right:15px;padding-left:15px}.col-xs-1,.col-xs-10,.col-xs-11,.col-xs-12,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9{float:left}.col-xs-12{width:100%}.col-xs-11{width:91.66666667%}.col-xs-10{width:83.33333333%}.col-xs-9{width:75%}.col-xs-8{width:66.66666667%}.col-xs-7{width:58.33333333%}.col-xs-6{width:50%}.col-xs-5{width:41.66666667%}.col-xs-4{width:33.33333333%}.col-xs-3{width:25%}.col-xs-2{width:16.66666667%}.col-xs-1{width:8.33333333%}.col-xs-pull-12{right:100%}.col-xs-pull-11{right:91.66666667%}.col-xs-pull-10{right:83.33333333%}.col-xs-pull-9{right:75%}.col-xs-pull-8{right:66.66666667%}.col-xs-pull-7{right:58.33333333%}.col-xs-pull-6{right:50%}.col-xs-pull-5{right:41.66666667%}.col-xs-pull-4{right:33.33333333%}.col-xs-pull-3{right:25%}.col-xs-pull-2{right:16.66666667%}.col-xs-pull-1{right:8.33333333%}.col-xs-pull-0{right:auto}.col-xs-push-12{left:100%}.col-xs-push-11{left:91.66666667%}.col-xs-push-10{left:83.33333333%}.col-xs-push-9{left:75%}.col-xs-push-8{left:66.66666667%}.col-xs-push-7{left:58.33333333%}.col-xs-push-6{left:50%}.col-xs-push-5{left:41.66666667%}.col-xs-push-4{left:33.33333333%}.col-xs-push-3{left:25%}.col-xs-push-2{left:16.66666667%}.col-xs-push-1{left:8.33333333%}.col-xs-push-0{left:auto}.col-xs-offset-12{margin-left:100%}.col-xs-offset-11{margin-left:91.66666667%}.col-xs-offset-10{margin-left:83.33333333%}.col-xs-offset-9{margin-left:75%}.col-xs-offset-8{margin-left:66.66666667%}.col-xs-offset-7{margin-left:58.33333333%}.col-xs-offset-6{margin-left:50%}.col-xs-offset-5{margin-left:41.66666667%}.col-xs-offset-4{margin-left:33.33333333%}.col-xs-offset-3{margin-left:25%}.col-xs-offset-2{margin-left:16.66666667%}.col-xs-offset-1{margin-left:8.33333333%}.col-xs-offset-0{margin-left:0}@media (min-width:768px){.col-sm-1,.col-sm-10,.col-sm-11,.col-sm-12,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9{float:left}.col-sm-12{width:100%}.col-sm-11{width:91.66666667%}.col-sm-10{width:83.33333333%}.col-sm-9{width:75%}.col-sm-8{width:66.66666667%}.col-sm-7{width:58.33333333%}.col-sm-6{width:50%}.col-sm-5{width:41.66666667%}.col-sm-4{width:33.33333333%}.col-sm-3{width:25%}.col-sm-2{width:16.66666667%}.col-sm-1{width:8.33333333%}.col-sm-pull-12{right:100%}.col-sm-pull-11{right:91.66666667%}.col-sm-pull-10{right:83.33333333%}.col-sm-pull-9{right:75%}.col-sm-pull-8{right:66.66666667%}.col-sm-pull-7{right:58.33333333%}.col-sm-pull-6{right:50%}.col-sm-pull-5{right:41.66666667%}.col-sm-pull-4{right:33.33333333%}.col-sm-pull-3{right:25%}.col-sm-pull-2{right:16.66666667%}.col-sm-pull-1{right:8.33333333%}.col-sm-pull-0{right:auto}.col-sm-push-12{left:100%}.col-sm-push-11{left:91.66666667%}.col-sm-push-10{left:83.33333333%}.col-sm-push-9{left:75%}.col-sm-push-8{left:66.66666667%}.col-sm-push-7{left:58.33333333%}.col-sm-push-6{left:50%}.col-sm-push-5{left:41.66666667%}.col-sm-push-4{left:33.33333333%}.col-sm-push-3{left:25%}.col-sm-push-2{left:16.66666667%}.col-sm-push-1{left:8.33333333%}.col-sm-push-0{left:auto}.col-sm-offset-12{margin-left:100%}.col-sm-offset-11{margin-left:91.66666667%}.col-sm-offset-10{margin-left:83.33333333%}.col-sm-offset-9{margin-left:75%}.col-sm-offset-8{margin-left:66.66666667%}.col-sm-offset-7{margin-left:58.33333333%}.col-sm-offset-6{margin-left:50%}.col-sm-offset-5{margin-left:41.66666667%}.col-sm-offset-4{margin-left:33.33333333%}.col-sm-offset-3{margin-left:25%}.col-sm-offset-2{margin-left:16.66666667%}.col-sm-offset-1{margin-left:8.33333333%}.col-sm-offset-0{margin-left:0}}@media (min-width:992px){.col-md-1,.col-md-10,.col-md-11,.col-md-12,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9{float:left}.col-md-12{width:100%}.col-md-11{width:91.66666667%}.col-md-10{width:83.33333333%}.col-md-9{width:75%}.col-md-8{width:66.66666667%}.col-md-7{width:58.33333333%}.col-md-6{width:50%}.col-md-5{width:41.66666667%}.col-md-4{width:33.33333333%}.col-md-3{width:25%}.col-md-2{width:16.66666667%}.col-md-1{width:8.33333333%}.col-md-pull-12{right:100%}.col-md-pull-11{right:91.66666667%}.col-md-pull-10{right:83.33333333%}.col-md-pull-9{right:75%}.col-md-pull-8{right:66.66666667%}.col-md-pull-7{right:58.33333333%}.col-md-pull-6{right:50%}.col-md-pull-5{right:41.66666667%}.col-md-pull-4{right:33.33333333%}.col-md-pull-3{right:25%}.col-md-pull-2{right:16.66666667%}.col-md-pull-1{right:8.33333333%}.col-md-pull-0{right:auto}.col-md-push-12{left:100%}.col-md-push-11{left:91.66666667%}.col-md-push-10{left:83.33333333%}.col-md-push-9{left:75%}.col-md-push-8{left:66.66666667%}.col-md-push-7{left:58.33333333%}.col-md-push-6{left:50%}.col-md-push-5{left:41.66666667%}.col-md-push-4{left:33.33333333%}.col-md-push-3{left:25%}.col-md-push-2{left:16.66666667%}.col-md-push-1{left:8.33333333%}.col-md-push-0{left:auto}.col-md-offset-12{margin-left:100%}.col-md-offset-11{margin-left:91.66666667%}.col-md-offset-10{margin-left:83.33333333%}.col-md-offset-9{margin-left:75%}.col-md-offset-8{margin-left:66.66666667%}.col-md-offset-7{margin-left:58.33333333%}.col-md-offset-6{margin-left:50%}.col-md-offset-5{margin-left:41.66666667%}.col-md-offset-4{margin-left:33.33333333%}.col-md-offset-3{margin-left:25%}.col-md-offset-2{margin-left:16.66666667%}.col-md-offset-1{margin-left:8.33333333%}.col-md-offset-0{margin-left:0}}@media (min-width:1200px){.col-lg-1,.col-lg-10,.col-lg-11,.col-lg-12,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9{float:left}.col-lg-12{width:100%}.col-lg-11{width:91.66666667%}.col-lg-10{width:83.33333333%}.col-lg-9{width:75%}.col-lg-8{width:66.66666667%}.col-lg-7{width:58.33333333%}.col-lg-6{width:50%}.col-lg-5{width:41.66666667%}.col-lg-4{width:33.33333333%}.col-lg-3{width:25%}.col-lg-2{width:16.66666667%}.col-lg-1{width:8.33333333%}.col-lg-pull-12{right:100%}.col-lg-pull-11{right:91.66666667%}.col-lg-pull-10{right:83.33333333%}.col-lg-pull-9{right:75%}.col-lg-pull-8{right:66.66666667%}.col-lg-pull-7{right:58.33333333%}.col-lg-pull-6{right:50%}.col-lg-pull-5{right:41.66666667%}.col-lg-pull-4{right:33.33333333%}.col-lg-pull-3{right:25%}.col-lg-pull-2{right:16.66666667%}.col-lg-pull-1{right:8.33333333%}.col-lg-pull-0{right:auto}.col-lg-push-12{left:100%}.col-lg-push-11{left:91.66666667%}.col-lg-push-10{left:83.33333333%}.col-lg-push-9{left:75%}.col-lg-push-8{left:66.66666667%}.col-lg-push-7{left:58.33333333%}.col-lg-push-6{left:50%}.col-lg-push-5{left:41.66666667%}.col-lg-push-4{left:33.33333333%}.col-lg-push-3{left:25%}.col-lg-push-2{left:16.66666667%}.col-lg-push-1{left:8.33333333%}.col-lg-push-0{left:auto}.col-lg-offset-12{margin-left:100%}.col-lg-offset-11{margin-left:91.66666667%}.col-lg-offset-10{margin-left:83.33333333%}.col-lg-offset-9{margin-left:75%}.col-lg-offset-8{margin-left:66.66666667%}.col-lg-offset-7{margin-left:58.33333333%}.col-lg-offset-6{margin-left:50%}.col-lg-offset-5{margin-left:41.66666667%}.col-lg-offset-4{margin-left:33.33333333%}.col-lg-offset-3{margin-left:25%}.col-lg-offset-2{margin-left:16.66666667%}.col-lg-offset-1{margin-left:8.33333333%}.col-lg-offset-0{margin-left:0}}table{background-color:transparent}caption{padding-top:8px;padding-bottom:8px;color:#777;text-align:left}th{}.table{width:100%;max-width:100%;margin-bottom:20px}.table>tbody>tr>td,.table>tbody>tr>th,.table>tfoot>tr>td,.table>tfoot>tr>th,.table>thead>tr>td,.table>thead>tr>th{padding:8px;line-height:1.42857143;vertical-align:top;border-top:1px solid #ddd}.table>thead>tr>th{vertical-align:bottom;border-bottom:2px solid #ddd}.table>caption+thead>tr:first-child>td,.table>caption+thead>tr:first-child>th,.table>colgroup+thead>tr:first-child>td,.table>colgroup+thead>tr:first-child>th,.table>thead:first-child>tr:first-child>td,.table>thead:first-child>tr:first-child>th{border-top:0}.table>tbody+tbody{border-top:2px solid #ddd}.table .table{background-color:#fff}.table-condensed>tbody>tr>td,.table-condensed>tbody>tr>th,.table-condensed>tfoot>tr>td,.table-condensed>tfoot>tr>th,.table-condensed>thead>tr>td,.table-condensed>thead>tr>th{padding:5px}.table-bordered{border:1px solid #ddd}.table-bordered>tbody>tr>td,.table-bordered>tbody>tr>th,.table-bordered>tfoot>tr>td,.table-bordered>tfoot>tr>th,.table-bordered>thead>tr>td,.table-bordered>thead>tr>th{border:1px solid #ddd}.table-bordered>thead>tr>td,.table-bordered>thead>tr>th{border-bottom-width:2px}.table-striped>tbody>tr:nth-of-type(odd){background-color:#f9f9f9}.table-hover>tbody>tr:hover{background-color:#f5f5f5}table col[class*=col-]{position:static;display:table-column;float:none}table td[class*=col-],table th[class*=col-]{position:static;display:table-cell;float:none}.table>tbody>tr.active>td,.table>tbody>tr.active>th,.table>tbody>tr>td.active,.table>tbody>tr>th.active,.table>tfoot>tr.active>td,.table>tfoot>tr.active>th,.table>tfoot>tr>td.active,.table>tfoot>tr>th.active,.table>thead>tr.active>td,.table>thead>tr.active>th,.table>thead>tr>td.active,.table>thead>tr>th.active{background-color:#f5f5f5}.table-hover>tbody>tr.active:hover>td,.table-hover>tbody>tr.active:hover>th,.table-hover>tbody>tr:hover>.active,.table-hover>tbody>tr>td.active:hover,.table-hover>tbody>tr>th.active:hover{background-color:#e8e8e8}.table>tbody>tr.success>td,.table>tbody>tr.success>th,.table>tbody>tr>td.success,.table>tbody>tr>th.success,.table>tfoot>tr.success>td,.table>tfoot>tr.success>th,.table>tfoot>tr>td.success,.table>tfoot>tr>th.success,.table>thead>tr.success>td,.table>thead>tr.success>th,.table>thead>tr>td.success,.table>thead>tr>th.success{background-color:#dff0d8}.table-hover>tbody>tr.success:hover>td,.table-hover>tbody>tr.success:hover>th,.table-hover>tbody>tr:hover>.success,.table-hover>tbody>tr>td.success:hover,.table-hover>tbody>tr>th.success:hover{background-color:#d0e9c6}.table>tbody>tr.info>td,.table>tbody>tr.info>th,.table>tbody>tr>td.info,.table>tbody>tr>th.info,.table>tfoot>tr.info>td,.table>tfoot>tr.info>th,.table>tfoot>tr>td.info,.table>tfoot>tr>th.info,.table>thead>tr.info>td,.table>thead>tr.info>th,.table>thead>tr>td.info,.table>thead>tr>th.info{background-color:#d9edf7}.table-hover>tbody>tr.info:hover>td,.table-hover>tbody>tr.info:hover>th,.table-hover>tbody>tr:hover>.info,.table-hover>tbody>tr>td.info:hover,.table-hover>tbody>tr>th.info:hover{background-color:#c4e3f3}.table>tbody>tr.warning>td,.table>tbody>tr.warning>th,.table>tbody>tr>td.warning,.table>tbody>tr>th.warning,.table>tfoot>tr.warning>td,.table>tfoot>tr.warning>th,.table>tfoot>tr>td.warning,.table>tfoot>tr>th.warning,.table>thead>tr.warning>td,.table>thead>tr.warning>th,.table>thead>tr>td.warning,.table>thead>tr>th.warning{background-color:#fcf8e3}.table-hover>tbody>tr.warning:hover>td,.table-hover>tbody>tr.warning:hover>th,.table-hover>tbody>tr:hover>.warning,.table-hover>tbody>tr>td.warning:hover,.table-hover>tbody>tr>th.warning:hover{background-color:#faf2cc}.table>tbody>tr.danger>td,.table>tbody>tr.danger>th,.table>tbody>tr>td.danger,.table>tbody>tr>th.danger,.table>tfoot>tr.danger>td,.table>tfoot>tr.danger>th,.table>tfoot>tr>td.danger,.table>tfoot>tr>th.danger,.table>thead>tr.danger>td,.table>thead>tr.danger>th,.table>thead>tr>td.danger,.table>thead>tr>th.danger{background-color:#f2dede}.table-hover>tbody>tr.danger:hover>td,.table-hover>tbody>tr.danger:hover>th,.table-hover>tbody>tr:hover>.danger,.table-hover>tbody>tr>td.danger:hover,.table-hover>tbody>tr>th.danger:hover{background-color:#ebcccc}.table-responsive{min-height:.01%;overflow-x:auto}@media screen and (max-width:767px){.table-responsive{width:100%;margin-bottom:15px;overflow-y:hidden;-ms-overflow-style:-ms-autohiding-scrollbar;border:1px solid #ddd}.table-responsive>.table{margin-bottom:0}.table-responsive>.table>tbody>tr>td,.table-responsive>.table>tbody>tr>th,.table-responsive>.table>tfoot>tr>td,.table-responsive>.table>tfoot>tr>th,.table-responsive>.table>thead>tr>td,.table-responsive>.table>thead>tr>th{white-space:nowrap}.table-responsive>.table-bordered{border:0}.table-responsive>.table-bordered>tbody>tr>td:first-child,.table-responsive>.table-bordered>tbody>tr>th:first-child,.table-responsive>.table-bordered>tfoot>tr>td:first-child,.table-responsive>.table-bordered>tfoot>tr>th:first-child,.table-responsive>.table-bordered>thead>tr>td:first-child,.table-responsive>.table-bordered>thead>tr>th:first-child{border-left:0}.table-responsive>.table-bordered>tbody>tr>td:last-child,.table-responsive>.table-bordered>tbody>tr>th:last-child,.table-responsive>.table-bordered>tfoot>tr>td:last-child,.table-responsive>.table-bordered>tfoot>tr>th:last-child,.table-responsive>.table-bordered>thead>tr>td:last-child,.table-responsive>.table-bordered>thead>tr>th:last-child{border-right:0}.table-responsive>.table-bordered>tbody>tr:last-child>td,.table-responsive>.table-bordered>tbody>tr:last-child>th,.table-responsive>.table-bordered>tfoot>tr:last-child>td,.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}}fieldset{min-width:0;padding:0;margin:0;border:0}legend{display:block;width:100%;padding:0;margin-bottom:20px;font-size:21px;line-height:inherit;color:#333;border:0;border-bottom:1px solid #e5e5e5}label{display:inline-block;max-width:100%;margin-bottom:5px;font-weight:700}input[type=search]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}input[type=checkbox],input[type=radio]{margin:4px 0 0;margin-top:1px\9;line-height:normal}input[type=file]{display:block}input[type=range]{display:block;width:100%}select[multiple],select[size]{height:auto}input[type=file]:focus,input[type=checkbox]:focus,input[type=radio]:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}output{display:block;padding-top:7px;font-size:14px;line-height:1.42857143;color:#555}.form-control{display:block;width:100%;height:34px;padding:6px 12px;font-size:14px;line-height:1.42857143;color:#555;background-color:#fff;background-image:none;border:1px solid #ccc;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075);-webkit-transition:border-color ease-in-out .15s,-webkit-box-shadow ease-in-out .15s;-o-transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s;transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s}.form-control:focus{border-color:#66afe9;outline:0;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 8px rgba(102,175,233,.6);box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 8px rgba(102,175,233,.6)}.form-control::-moz-placeholder{color:#999;opacity:1}.form-control:-ms-input-placeholder{color:#999}.form-control::-webkit-input-placeholder{color:#999}.form-control[disabled],.form-control[readonly],fieldset[disabled] .form-control{background-color:#eee;opacity:1}.form-control[disabled],fieldset[disabled] .form-control{cursor:not-allowed}textarea.form-control{height:auto}input[type=search]{-webkit-appearance:none}@media screen and (-webkit-min-device-pixel-ratio:0){input[type=date].form-control,input[type=time].form-control,input[type=datetime-local].form-control,input[type=month].form-control{line-height:34px}.input-group-sm input[type=date],.input-group-sm input[type=time],.input-group-sm input[type=datetime-local],.input-group-sm input[type=month],input[type=date].input-sm,input[type=time].input-sm,input[type=datetime-local].input-sm,input[type=month].input-sm{line-height:30px}.input-group-lg input[type=date],.input-group-lg input[type=time],.input-group-lg input[type=datetime-local],.input-group-lg input[type=month],input[type=date].input-lg,input[type=time].input-lg,input[type=datetime-local].input-lg,input[type=month].input-lg{line-height:46px}}.form-group{margin-bottom:15px}.checkbox,.radio{position:relative;display:block;margin-top:10px;margin-bottom:10px}.checkbox label,.radio label{min-height:20px;padding-left:20px;margin-bottom:0;font-weight:400;cursor:pointer}.checkbox input[type=checkbox],.checkbox-inline input[type=checkbox],.radio input[type=radio],.radio-inline input[type=radio]{position:absolute;margin-top:4px\9;margin-left:-20px}.checkbox+.checkbox,.radio+.radio{margin-top:-5px}.checkbox-inline,.radio-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;font-weight:400;vertical-align:middle;cursor:pointer}.checkbox-inline+.checkbox-inline,.radio-inline+.radio-inline{margin-top:0;margin-left:10px}fieldset[disabled] input[type=checkbox],fieldset[disabled] input[type=radio],input[type=checkbox].disabled,input[type=checkbox][disabled],input[type=radio].disabled,input[type=radio][disabled]{cursor:not-allowed}.checkbox-inline.disabled,.radio-inline.disabled,fieldset[disabled] .checkbox-inline,fieldset[disabled] .radio-inline{cursor:not-allowed}.checkbox.disabled label,.radio.disabled label,fieldset[disabled] .checkbox label,fieldset[disabled] .radio label{cursor:not-allowed}.form-control-static{min-height:34px;padding-top:7px;padding-bottom:7px;margin-bottom:0}.form-control-static.input-lg,.form-control-static.input-sm{padding-right:0;padding-left:0}.input-sm{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-sm{height:30px;line-height:30px}select[multiple].input-sm,textarea.input-sm{height:auto}.form-group-sm .form-control{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.form-group-sm select.form-control{height:30px;line-height:30px}.form-group-sm select[multiple].form-control,.form-group-sm textarea.form-control{height:auto}.form-group-sm .form-control-static{height:30px;min-height:32px;padding:6px 10px;font-size:12px;line-height:1.5}.input-lg{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-lg{height:46px;line-height:46px}select[multiple].input-lg,textarea.input-lg{height:auto}.form-group-lg .form-control{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.form-group-lg select.form-control{height:46px;line-height:46px}.form-group-lg select[multiple].form-control,.form-group-lg textarea.form-control{height:auto}.form-group-lg .form-control-static{height:46px;min-height:38px;padding:11px 16px;font-size:18px;line-height:1.3333333}.has-feedback{position:relative}.has-feedback .form-control{padding-right:42.5px}.form-control-feedback{position:absolute;top:0;right:0;z-index:2;display:block;width:34px;height:34px;line-height:34px;text-align:center;pointer-events:none}.form-group-lg .form-control+.form-control-feedback,.input-group-lg+.form-control-feedback,.input-lg+.form-control-feedback{width:46px;height:46px;line-height:46px}.form-group-sm .form-control+.form-control-feedback,.input-group-sm+.form-control-feedback,.input-sm+.form-control-feedback{width:30px;height:30px;line-height:30px}.has-success .checkbox,.has-success .checkbox-inline,.has-success .control-label,.has-success .help-block,.has-success .radio,.has-success .radio-inline,.has-success.checkbox label,.has-success.checkbox-inline label,.has-success.radio label,.has-success.radio-inline label{color:#3c763d}.has-success .form-control{border-color:#3c763d;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-success .form-control:focus{border-color:#2b542c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #67b168;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #67b168}.has-success .input-group-addon{color:#3c763d;background-color:#dff0d8;border-color:#3c763d}.has-success .form-control-feedback{color:#3c763d}.has-warning .checkbox,.has-warning .checkbox-inline,.has-warning .control-label,.has-warning .help-block,.has-warning .radio,.has-warning .radio-inline,.has-warning.checkbox label,.has-warning.checkbox-inline label,.has-warning.radio label,.has-warning.radio-inline label{color:#8a6d3b}.has-warning .form-control{border-color:#8a6d3b;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-warning .form-control:focus{border-color:#66512c;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #c0a16b;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #c0a16b}.has-warning .input-group-addon{color:#8a6d3b;background-color:#fcf8e3;border-color:#8a6d3b}.has-warning .form-control-feedback{color:#8a6d3b}.has-error .checkbox,.has-error .checkbox-inline,.has-error .control-label,.has-error .help-block,.has-error .radio,.has-error .radio-inline,.has-error.checkbox label,.has-error.checkbox-inline label,.has-error.radio label,.has-error.radio-inline label{color:#a94442}.has-error .form-control{border-color:#a94442;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 1px rgba(0,0,0,.075)}.has-error .form-control:focus{border-color:#843534;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #ce8483;box-shadow:inset 0 1px 1px rgba(0,0,0,.075),0 0 6px #ce8483}.has-error .input-group-addon{color:#a94442;background-color:#f2dede;border-color:#a94442}.has-error .form-control-feedback{color:#a94442}.has-feedback label~.form-control-feedback{top:25px}.has-feedback label.sr-only~.form-control-feedback{top:0}.help-block{display:block;margin-top:5px;margin-bottom:10px;color:#737373}@media (min-width:768px){.form-inline .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.form-inline .form-control{display:inline-block;width:auto;vertical-align:middle}.form-inline .form-control-static{display:inline-block}.form-inline .input-group{display:inline-table;vertical-align:middle}.form-inline .input-group .form-control,.form-inline .input-group .input-group-addon,.form-inline .input-group .input-group-btn{width:auto}.form-inline .input-group>.form-control{width:100%}.form-inline .control-label{margin-bottom:0;vertical-align:middle}.form-inline .checkbox,.form-inline .radio{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.form-inline .checkbox label,.form-inline .radio label{padding-left:0}.form-inline .checkbox input[type=checkbox],.form-inline .radio input[type=radio]{position:relative;margin-left:0}.form-inline .has-feedback .form-control-feedback{top:0}}.form-horizontal .checkbox,.form-horizontal .checkbox-inline,.form-horizontal .radio,.form-horizontal .radio-inline{padding-top:7px;margin-top:0;margin-bottom:0}.form-horizontal .checkbox,.form-horizontal .radio{min-height:27px}.form-horizontal .form-group{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.form-horizontal .control-label{padding-top:7px;margin-bottom:0;text-align:right}}.form-horizontal .has-feedback .form-control-feedback{right:15px}@media (min-width:768px){.form-horizontal .form-group-lg .control-label{padding-top:14.33px;font-size:18px}}@media (min-width:768px){.form-horizontal .form-group-sm .control-label{padding-top:6px;font-size:12px}}.btn{display:inline-block;padding:6px 12px;margin-bottom:0;font-size:14px;font-weight:400;line-height:1.42857143;text-align:center;white-space:nowrap;vertical-align:middle;-ms-touch-action:manipulation;touch-action:manipulation;cursor:pointer;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;background-image:none;border:1px solid transparent;border-radius:4px}.btn.active.focus,.btn.active:focus,.btn.focus,.btn:active.focus,.btn:active:focus,.btn:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.btn.focus,.btn:focus,.btn:hover{color:#333;text-decoration:none}.btn.active,.btn:active{background-image:none;outline:0;-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn.disabled,.btn[disabled],fieldset[disabled] .btn{cursor:not-allowed;filter:alpha(opacity=65);-webkit-box-shadow:none;box-shadow:none;opacity:.65}a.btn.disabled,fieldset[disabled] a.btn{pointer-events:none}.btn-default{color:#333;background-color:#fff;border-color:#ccc}.btn-default.focus,.btn-default:focus{color:#333;background-color:#e6e6e6;border-color:#8c8c8c}.btn-default:hover{color:#333;background-color:#e6e6e6;border-color:#adadad}.btn-default.active,.btn-default:active,.open>.dropdown-toggle.btn-default{color:#333;background-color:#e6e6e6;border-color:#adadad}.btn-default.active.focus,.btn-default.active:focus,.btn-default.active:hover,.btn-default:active.focus,.btn-default:active:focus,.btn-default:active:hover,.open>.dropdown-toggle.btn-default.focus,.open>.dropdown-toggle.btn-default:focus,.open>.dropdown-toggle.btn-default:hover{color:#333;background-color:#d4d4d4;border-color:#8c8c8c}.btn-default.active,.btn-default:active,.open>.dropdown-toggle.btn-default{background-image:none}.btn-default.disabled,.btn-default.disabled.active,.btn-default.disabled.focus,.btn-default.disabled:active,.btn-default.disabled:focus,.btn-default.disabled:hover,.btn-default[disabled],.btn-default[disabled].active,.btn-default[disabled].focus,.btn-default[disabled]:active,.btn-default[disabled]:focus,.btn-default[disabled]:hover,fieldset[disabled] .btn-default,fieldset[disabled] .btn-default.active,fieldset[disabled] .btn-default.focus,fieldset[disabled] .btn-default:active,fieldset[disabled] .btn-default:focus,fieldset[disabled] .btn-default:hover{background-color:#fff;border-color:#ccc}.btn-default .badge{color:#fff;background-color:#333}.btn-primary{color:#fff;background-color:#337ab7;border-color:#2e6da4}.btn-primary.focus,.btn-primary:focus{color:#fff;background-color:#286090;border-color:#122b40}.btn-primary:hover{color:#fff;background-color:#286090;border-color:#204d74}.btn-primary.active,.btn-primary:active,.open>.dropdown-toggle.btn-primary{color:#fff;background-color:#286090;border-color:#204d74}.btn-primary.active.focus,.btn-primary.active:focus,.btn-primary.active:hover,.btn-primary:active.focus,.btn-primary:active:focus,.btn-primary:active:hover,.open>.dropdown-toggle.btn-primary.focus,.open>.dropdown-toggle.btn-primary:focus,.open>.dropdown-toggle.btn-primary:hover{color:#fff;background-color:#204d74;border-color:#122b40}.btn-primary.active,.btn-primary:active,.open>.dropdown-toggle.btn-primary{background-image:none}.btn-primary.disabled,.btn-primary.disabled.active,.btn-primary.disabled.focus,.btn-primary.disabled:active,.btn-primary.disabled:focus,.btn-primary.disabled:hover,.btn-primary[disabled],.btn-primary[disabled].active,.btn-primary[disabled].focus,.btn-primary[disabled]:active,.btn-primary[disabled]:focus,.btn-primary[disabled]:hover,fieldset[disabled] .btn-primary,fieldset[disabled] .btn-primary.active,fieldset[disabled] .btn-primary.focus,fieldset[disabled] .btn-primary:active,fieldset[disabled] .btn-primary:focus,fieldset[disabled] .btn-primary:hover{background-color:#337ab7;border-color:#2e6da4}.btn-primary .badge{color:#337ab7;background-color:#fff}.btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c}.btn-success.focus,.btn-success:focus{color:#fff;background-color:#449d44;border-color:#255625}.btn-success:hover{color:#fff;background-color:#449d44;border-color:#398439}.btn-success.active,.btn-success:active,.open>.dropdown-toggle.btn-success{color:#fff;background-color:#449d44;border-color:#398439}.btn-success.active.focus,.btn-success.active:focus,.btn-success.active:hover,.btn-success:active.focus,.btn-success:active:focus,.btn-success:active:hover,.open>.dropdown-toggle.btn-success.focus,.open>.dropdown-toggle.btn-success:focus,.open>.dropdown-toggle.btn-success:hover{color:#fff;background-color:#398439;border-color:#255625}.btn-success.active,.btn-success:active,.open>.dropdown-toggle.btn-success{background-image:none}.btn-success.disabled,.btn-success.disabled.active,.btn-success.disabled.focus,.btn-success.disabled:active,.btn-success.disabled:focus,.btn-success.disabled:hover,.btn-success[disabled],.btn-success[disabled].active,.btn-success[disabled].focus,.btn-success[disabled]:active,.btn-success[disabled]:focus,.btn-success[disabled]:hover,fieldset[disabled] .btn-success,fieldset[disabled] .btn-success.active,fieldset[disabled] .btn-success.focus,fieldset[disabled] .btn-success:active,fieldset[disabled] .btn-success:focus,fieldset[disabled] .btn-success:hover{background-color:#5cb85c;border-color:#4cae4c}.btn-success .badge{color:#5cb85c;background-color:#fff}.btn-info{color:#fff;background-color:#5bc0de;border-color:#46b8da}.btn-info.focus,.btn-info:focus{color:#fff;background-color:#31b0d5;border-color:#1b6d85}.btn-info:hover{color:#fff;background-color:#31b0d5;border-color:#269abc}.btn-info.active,.btn-info:active,.open>.dropdown-toggle.btn-info{color:#fff;background-color:#31b0d5;border-color:#269abc}.btn-info.active.focus,.btn-info.active:focus,.btn-info.active:hover,.btn-info:active.focus,.btn-info:active:focus,.btn-info:active:hover,.open>.dropdown-toggle.btn-info.focus,.open>.dropdown-toggle.btn-info:focus,.open>.dropdown-toggle.btn-info:hover{color:#fff;background-color:#269abc;border-color:#1b6d85}.btn-info.active,.btn-info:active,.open>.dropdown-toggle.btn-info{background-image:none}.btn-info.disabled,.btn-info.disabled.active,.btn-info.disabled.focus,.btn-info.disabled:active,.btn-info.disabled:focus,.btn-info.disabled:hover,.btn-info[disabled],.btn-info[disabled].active,.btn-info[disabled].focus,.btn-info[disabled]:active,.btn-info[disabled]:focus,.btn-info[disabled]:hover,fieldset[disabled] .btn-info,fieldset[disabled] .btn-info.active,fieldset[disabled] .btn-info.focus,fieldset[disabled] .btn-info:active,fieldset[disabled] .btn-info:focus,fieldset[disabled] .btn-info:hover{background-color:#5bc0de;border-color:#46b8da}.btn-info .badge{color:#5bc0de;background-color:#fff}.btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236}.btn-warning.focus,.btn-warning:focus{color:#fff;background-color:#ec971f;border-color:#985f0d}.btn-warning:hover{color:#fff;background-color:#ec971f;border-color:#d58512}.btn-warning.active,.btn-warning:active,.open>.dropdown-toggle.btn-warning{color:#fff;background-color:#ec971f;border-color:#d58512}.btn-warning.active.focus,.btn-warning.active:focus,.btn-warning.active:hover,.btn-warning:active.focus,.btn-warning:active:focus,.btn-warning:active:hover,.open>.dropdown-toggle.btn-warning.focus,.open>.dropdown-toggle.btn-warning:focus,.open>.dropdown-toggle.btn-warning:hover{color:#fff;background-color:#d58512;border-color:#985f0d}.btn-warning.active,.btn-warning:active,.open>.dropdown-toggle.btn-warning{background-image:none}.btn-warning.disabled,.btn-warning.disabled.active,.btn-warning.disabled.focus,.btn-warning.disabled:active,.btn-warning.disabled:focus,.btn-warning.disabled:hover,.btn-warning[disabled],.btn-warning[disabled].active,.btn-warning[disabled].focus,.btn-warning[disabled]:active,.btn-warning[disabled]:focus,.btn-warning[disabled]:hover,fieldset[disabled] .btn-warning,fieldset[disabled] .btn-warning.active,fieldset[disabled] .btn-warning.focus,fieldset[disabled] .btn-warning:active,fieldset[disabled] .btn-warning:focus,fieldset[disabled] .btn-warning:hover{background-color:#f0ad4e;border-color:#eea236}.btn-warning .badge{color:#f0ad4e;background-color:#fff}.btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a}.btn-danger.focus,.btn-danger:focus{color:#fff;background-color:#c9302c;border-color:#761c19}.btn-danger:hover{color:#fff;background-color:#c9302c;border-color:#ac2925}.btn-danger.active,.btn-danger:active,.open>.dropdown-toggle.btn-danger{color:#fff;background-color:#c9302c;border-color:#ac2925}.btn-danger.active.focus,.btn-danger.active:focus,.btn-danger.active:hover,.btn-danger:active.focus,.btn-danger:active:focus,.btn-danger:active:hover,.open>.dropdown-toggle.btn-danger.focus,.open>.dropdown-toggle.btn-danger:focus,.open>.dropdown-toggle.btn-danger:hover{color:#fff;background-color:#ac2925;border-color:#761c19}.btn-danger.active,.btn-danger:active,.open>.dropdown-toggle.btn-danger{background-image:none}.btn-danger.disabled,.btn-danger.disabled.active,.btn-danger.disabled.focus,.btn-danger.disabled:active,.btn-danger.disabled:focus,.btn-danger.disabled:hover,.btn-danger[disabled],.btn-danger[disabled].active,.btn-danger[disabled].focus,.btn-danger[disabled]:active,.btn-danger[disabled]:focus,.btn-danger[disabled]:hover,fieldset[disabled] .btn-danger,fieldset[disabled] .btn-danger.active,fieldset[disabled] .btn-danger.focus,fieldset[disabled] .btn-danger:active,fieldset[disabled] .btn-danger:focus,fieldset[disabled] .btn-danger:hover{background-color:#d9534f;border-color:#d43f3a}.btn-danger .badge{color:#d9534f;background-color:#fff}.btn-link{font-weight:400;color:#337ab7;border-radius:0}.btn-link,.btn-link.active,.btn-link:active,.btn-link[disabled],fieldset[disabled] .btn-link{background-color:transparent;-webkit-box-shadow:none;box-shadow:none}.btn-link,.btn-link:active,.btn-link:focus,.btn-link:hover{border-color:transparent}.btn-link:focus,.btn-link:hover{color:#23527c;text-decoration:underline;background-color:transparent}.btn-link[disabled]:focus,.btn-link[disabled]:hover,fieldset[disabled] .btn-link:focus,fieldset[disabled] .btn-link:hover{color:#777;text-decoration:none}.btn-group-lg>.btn,.btn-lg{padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}.btn-group-sm>.btn,.btn-sm{padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.btn-group-xs>.btn,.btn-xs{padding:1px 5px;font-size:12px;line-height:1.5;border-radius:3px}.btn-block{display:block;width:100%}.btn-block+.btn-block{margin-top:5px}input[type=button].btn-block,input[type=reset].btn-block,input[type=submit].btn-block{width:100%}.fade{opacity:0;-webkit-transition:opacity .15s linear;-o-transition:opacity .15s linear;transition:opacity .15s linear}.fade.in{opacity:1}.collapse{display:none}.collapse.in{display:block}tr.collapse.in{display:table-row}tbody.collapse.in{display:table-row-group}.collapsing{position:relative;height:0;overflow:hidden;-webkit-transition-timing-function:ease;-o-transition-timing-function:ease;transition-timing-function:ease;-webkit-transition-duration:.35s;-o-transition-duration:.35s;transition-duration:.35s;-webkit-transition-property:height,visibility;-o-transition-property:height,visibility;transition-property:height,visibility}.caret{display:inline-block;width:0;height:0;margin-left:2px;vertical-align:middle;border-top:4px dashed;border-top:4px solid\9;border-right:4px solid transparent;border-left:4px solid transparent}.dropdown,.dropup{position:relative}.dropdown-toggle:focus{outline:0}.dropdown-menu{position:absolute;top:100%;left:0;z-index:1000;display:none;float:left;min-width:160px;padding:5px 0;margin:2px 0 0;font-size:14px;text-align:left;list-style:none;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #ccc;border:1px solid rgba(0,0,0,.15);border-radius:4px;-webkit-box-shadow:0 6px 12px rgba(0,0,0,.175);box-shadow:0 6px 12px rgba(0,0,0,.175)}.dropdown-menu.pull-right{right:0;left:auto}.dropdown-menu .divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.dropdown-menu>li>a{display:block;padding:3px 20px;clear:both;font-weight:400;line-height:1.42857143;color:#333;white-space:nowrap}.dropdown-menu>li>a:focus,.dropdown-menu>li>a:hover{color:#262626;text-decoration:none;background-color:#f5f5f5}.dropdown-menu>.active>a,.dropdown-menu>.active>a:focus,.dropdown-menu>.active>a:hover{color:#fff;text-decoration:none;background-color:#337ab7;outline:0}.dropdown-menu>.disabled>a,.dropdown-menu>.disabled>a:focus,.dropdown-menu>.disabled>a:hover{color:#777}.dropdown-menu>.disabled>a:focus,.dropdown-menu>.disabled>a:hover{text-decoration:none;cursor:not-allowed;background-color:transparent;background-image:none;filter:progid:DXImageTransform.Microsoft.gradient(enabled=false)}.open>.dropdown-menu{display:block}.open>a{outline:0}.dropdown-menu-right{right:0;left:auto}.dropdown-menu-left{right:auto;left:0}.dropdown-header{display:block;padding:3px 20px;font-size:12px;line-height:1.42857143;color:#777;white-space:nowrap}.dropdown-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:990}.pull-right>.dropdown-menu{right:0;left:auto}.dropup .caret,.navbar-fixed-bottom .dropdown .caret{content:"";border-top:0;border-bottom:4px dashed;border-bottom:4px solid\9}.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu{top:auto;bottom:100%;margin-bottom:2px}@media (min-width:768px){.navbar-right .dropdown-menu{right:0;left:auto}.navbar-right .dropdown-menu-left{right:auto;left:0}}.btn-group,.btn-group-vertical{position:relative;display:inline-block;vertical-align:middle}.btn-group-vertical>.btn,.btn-group>.btn{position:relative;float:left}.btn-group-vertical>.btn.active,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:hover,.btn-group>.btn.active,.btn-group>.btn:active,.btn-group>.btn:focus,.btn-group>.btn:hover{z-index:2}.btn-group .btn+.btn,.btn-group .btn+.btn-group,.btn-group .btn-group+.btn,.btn-group .btn-group+.btn-group{margin-left:-1px}.btn-toolbar{margin-left:-5px}.btn-toolbar .btn,.btn-toolbar .btn-group,.btn-toolbar .input-group{float:left}.btn-toolbar>.btn,.btn-toolbar>.btn-group,.btn-toolbar>.input-group{margin-left:5px}.btn-group>.btn:not(:first-child):not(:last-child):not(.dropdown-toggle){border-radius:0}.btn-group>.btn:first-child{margin-left:0}.btn-group>.btn:first-child:not(:last-child):not(.dropdown-toggle){border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:last-child:not(:first-child),.btn-group>.dropdown-toggle:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.btn-group>.btn-group{float:left}.btn-group>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-left-radius:0;border-bottom-left-radius:0}.btn-group .dropdown-toggle:active,.btn-group.open .dropdown-toggle{outline:0}.btn-group>.btn+.dropdown-toggle{padding-right:8px;padding-left:8px}.btn-group>.btn-lg+.dropdown-toggle{padding-right:12px;padding-left:12px}.btn-group.open .dropdown-toggle{-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn-group.open .dropdown-toggle.btn-link{-webkit-box-shadow:none;box-shadow:none}.btn .caret{margin-left:0}.btn-lg .caret{border-width:5px 5px 0;border-bottom-width:0}.dropup .btn-lg .caret{border-width:0 5px 5px}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group,.btn-group-vertical>.btn-group>.btn{display:block;float:none;width:100%;max-width:100%}.btn-group-vertical>.btn-group>.btn{float:none}.btn-group-vertical>.btn+.btn,.btn-group-vertical>.btn+.btn-group,.btn-group-vertical>.btn-group+.btn,.btn-group-vertical>.btn-group+.btn-group{margin-top:-1px;margin-left:0}.btn-group-vertical>.btn:not(:first-child):not(:last-child){border-radius:0}.btn-group-vertical>.btn:first-child:not(:last-child){border-top-right-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn:last-child:not(:first-child){border-top-left-radius:0;border-top-right-radius:0;border-bottom-left-radius:4px}.btn-group-vertical>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group-vertical>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group-vertical>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-left-radius:0;border-top-right-radius:0}.btn-group-justified{display:table;width:100%;table-layout:fixed;border-collapse:separate}.btn-group-justified>.btn,.btn-group-justified>.btn-group{display:table-cell;float:none;width:1%}.btn-group-justified>.btn-group .btn{width:100%}.btn-group-justified>.btn-group .dropdown-menu{left:auto}[data-toggle=buttons]>.btn input[type=checkbox],[data-toggle=buttons]>.btn input[type=radio],[data-toggle=buttons]>.btn-group>.btn input[type=checkbox],[data-toggle=buttons]>.btn-group>.btn input[type=radio]{position:absolute;clip:rect(0,0,0,0);pointer-events:none}.input-group{position:relative;display:table;border-collapse:separate}.input-group[class*=col-]{float:none;padding-right:0;padding-left:0}.input-group .form-control{position:relative;z-index:2;float:left;width:100%;margin-bottom:0}.input-group-lg>.form-control,.input-group-lg>.input-group-addon,.input-group-lg>.input-group-btn>.btn{height:46px;padding:10px 16px;font-size:18px;line-height:1.3333333;border-radius:6px}select.input-group-lg>.form-control,select.input-group-lg>.input-group-addon,select.input-group-lg>.input-group-btn>.btn{height:46px;line-height:46px}select[multiple].input-group-lg>.form-control,select[multiple].input-group-lg>.input-group-addon,select[multiple].input-group-lg>.input-group-btn>.btn,textarea.input-group-lg>.form-control,textarea.input-group-lg>.input-group-addon,textarea.input-group-lg>.input-group-btn>.btn{height:auto}.input-group-sm>.form-control,.input-group-sm>.input-group-addon,.input-group-sm>.input-group-btn>.btn{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-group-sm>.form-control,select.input-group-sm>.input-group-addon,select.input-group-sm>.input-group-btn>.btn{height:30px;line-height:30px}select[multiple].input-group-sm>.form-control,select[multiple].input-group-sm>.input-group-addon,select[multiple].input-group-sm>.input-group-btn>.btn,textarea.input-group-sm>.form-control,textarea.input-group-sm>.input-group-addon,textarea.input-group-sm>.input-group-btn>.btn{height:auto}.input-group .form-control,.input-group-addon,.input-group-btn{display:table-cell}.input-group .form-control:not(:first-child):not(:last-child),.input-group-addon:not(:first-child):not(:last-child),.input-group-btn:not(:first-child):not(:last-child){border-radius:0}.input-group-addon,.input-group-btn{width:1%;white-space:nowrap;vertical-align:middle}.input-group-addon{padding:6px 12px;font-size:14px;font-weight:400;line-height:1;color:#555;text-align:center;background-color:#eee;border:1px solid #ccc;border-radius:4px}.input-group-addon.input-sm{padding:5px 10px;font-size:12px;border-radius:3px}.input-group-addon.input-lg{padding:10px 16px;font-size:18px;border-radius:6px}.input-group-addon input[type=checkbox],.input-group-addon input[type=radio]{margin-top:0}.input-group .form-control:first-child,.input-group-addon:first-child,.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group>.btn,.input-group-btn:first-child>.dropdown-toggle,.input-group-btn:last-child>.btn-group:not(:last-child)>.btn,.input-group-btn:last-child>.btn:not(:last-child):not(.dropdown-toggle){border-top-right-radius:0;border-bottom-right-radius:0}.input-group-addon:first-child{border-right:0}.input-group .form-control:last-child,.input-group-addon:last-child,.input-group-btn:first-child>.btn-group:not(:first-child)>.btn,.input-group-btn:first-child>.btn:not(:first-child),.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group>.btn,.input-group-btn:last-child>.dropdown-toggle{border-top-left-radius:0;border-bottom-left-radius:0}.input-group-addon:last-child{border-left:0}.input-group-btn{position:relative;font-size:0;white-space:nowrap}.input-group-btn>.btn{position:relative}.input-group-btn>.btn+.btn{margin-left:-1px}.input-group-btn>.btn:active,.input-group-btn>.btn:focus,.input-group-btn>.btn:hover{z-index:2}.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group{margin-right:-1px}.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group{z-index:2;margin-left:-1px}.nav{padding-left:0;margin-bottom:0;list-style:none}.nav>li{position:relative;display:block}.nav>li>a{position:relative;display:block;padding:10px 15px}.nav>li>a:focus,.nav>li>a:hover{text-decoration:none;background-color:#eee}.nav>li.disabled>a{color:#777}.nav>li.disabled>a:focus,.nav>li.disabled>a:hover{color:#777;text-decoration:none;cursor:not-allowed;background-color:transparent}.nav .open>a,.nav .open>a:focus,.nav .open>a:hover{background-color:#eee;border-color:#337ab7}.nav .nav-divider{height:1px;margin:9px 0;overflow:hidden;background-color:#e5e5e5}.nav>li>a>img{max-width:none}.nav-tabs{border-bottom:1px solid #ddd}.nav-tabs>li{float:left;margin-bottom:-1px}.nav-tabs>li>a{margin-right:2px;line-height:1.42857143;border:1px solid transparent;border-radius:4px 4px 0 0}.nav-tabs>li>a:hover{border-color:#eee #eee #ddd}.nav-tabs>li.active>a,.nav-tabs>li.active>a:focus,.nav-tabs>li.active>a:hover{color:#555;cursor:default;background-color:#fff;border:1px solid #ddd;border-bottom-color:transparent}.nav-tabs.nav-justified{width:100%;border-bottom:0}.nav-tabs.nav-justified>li{float:none}.nav-tabs.nav-justified>li>a{margin-bottom:5px;text-align:center}.nav-tabs.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-tabs.nav-justified>li{display:table-cell;width:1%}.nav-tabs.nav-justified>li>a{margin-bottom:0}}.nav-tabs.nav-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:focus,.nav-tabs.nav-justified>.active>a:hover{border:1px solid #ddd}@media (min-width:768px){.nav-tabs.nav-justified>li>a{border-bottom:1px solid #ddd;border-radius:4px 4px 0 0}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:focus,.nav-tabs.nav-justified>.active>a:hover{border-bottom-color:#fff}}.nav-pills>li{float:left}.nav-pills>li>a{border-radius:4px}.nav-pills>li+li{margin-left:2px}.nav-pills>li.active>a,.nav-pills>li.active>a:focus,.nav-pills>li.active>a:hover{color:#fff;background-color:#337ab7}.nav-stacked>li{float:none}.nav-stacked>li+li{margin-top:2px;margin-left:0}.nav-justified{width:100%}.nav-justified>li{float:none}.nav-justified>li>a{margin-bottom:5px;text-align:center}.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-justified>li{display:table-cell;width:1%}.nav-justified>li>a{margin-bottom:0}}.nav-tabs-justified{border-bottom:0}.nav-tabs-justified>li>a{margin-right:0;border-radius:4px}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:focus,.nav-tabs-justified>.active>a:hover{border:1px solid #ddd}@media (min-width:768px){.nav-tabs-justified>li>a{border-bottom:1px solid #ddd;border-radius:4px 4px 0 0}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:focus,.nav-tabs-justified>.active>a:hover{border-bottom-color:#fff}}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.nav-tabs .dropdown-menu{margin-top:-1px;border-top-left-radius:0;border-top-right-radius:0}.navbar{position:relative;min-height:50px;margin-bottom:20px;border:1px solid transparent}@media (min-width:768px){.navbar{border-radius:4px}}@media (min-width:768px){.navbar-header{float:left}}.navbar-collapse{padding-right:15px;padding-left:15px;overflow-x:visible;-webkit-overflow-scrolling:touch;border-top:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 0 rgba(255,255,255,.1)}.navbar-collapse.in{overflow-y:auto}@media (min-width:768px){.navbar-collapse{width:auto;border-top:0;-webkit-box-shadow:none;box-shadow:none}.navbar-collapse.collapse{display:block!important;height:auto!important;padding-bottom:0;overflow:visible!important}.navbar-collapse.in{overflow-y:visible}.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse,.navbar-static-top .navbar-collapse{padding-right:0;padding-left:0}}.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse{max-height:340px}@media (max-device-width:480px) and (orientation:landscape){.navbar-fixed-bottom .navbar-collapse,.navbar-fixed-top .navbar-collapse{max-height:200px}}.container-fluid>.navbar-collapse,.container-fluid>.navbar-header,.container>.navbar-collapse,.container>.navbar-header{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.container-fluid>.navbar-collapse,.container-fluid>.navbar-header,.container>.navbar-collapse,.container>.navbar-header{margin-right:0;margin-left:0}}.navbar-static-top{z-index:1000;border-width:0 0 1px}@media (min-width:768px){.navbar-static-top{border-radius:0}}.navbar-fixed-bottom,.navbar-fixed-top{position:fixed;right:0;left:0;z-index:1030}@media (min-width:768px){.navbar-fixed-bottom,.navbar-fixed-top{border-radius:0}}.navbar-fixed-top{top:0;border-width:0 0 1px}.navbar-fixed-bottom{bottom:0;margin-bottom:0;border-width:1px 0 0}.navbar-brand{float:left;height:50px;padding:15px 15px;font-size:18px;line-height:20px}.navbar-brand:focus,.navbar-brand:hover{text-decoration:none}.navbar-brand>img{display:block}@media (min-width:768px){.navbar>.container .navbar-brand,.navbar>.container-fluid .navbar-brand{margin-left:-15px}}.navbar-toggle{position:relative;float:right;padding:9px 10px;margin-top:8px;margin-right:15px;margin-bottom:8px;background-color:transparent;background-image:none;border:1px solid transparent;border-radius:4px}.navbar-toggle:focus{outline:0}.navbar-toggle .icon-bar{display:block;width:22px;height:2px;border-radius:1px}.navbar-toggle .icon-bar+.icon-bar{margin-top:4px}@media (min-width:768px){.navbar-toggle{display:none}}.navbar-nav{margin:7.5px -15px}.navbar-nav>li>a{padding-top:10px;padding-bottom:10px;line-height:20px}@media (max-width:767px){.navbar-nav .open .dropdown-menu{position:static;float:none;width:auto;margin-top:0;background-color:transparent;border:0;-webkit-box-shadow:none;box-shadow:none}.navbar-nav .open .dropdown-menu .dropdown-header,.navbar-nav .open .dropdown-menu>li>a{padding:5px 15px 5px 25px}.navbar-nav .open .dropdown-menu>li>a{line-height:20px}.navbar-nav .open .dropdown-menu>li>a:focus,.navbar-nav .open .dropdown-menu>li>a:hover{background-image:none}}@media (min-width:768px){.navbar-nav{float:left;margin:0}.navbar-nav>li{float:left}.navbar-nav>li>a{padding-top:15px;padding-bottom:15px}}.navbar-form{padding:10px 15px;margin-top:8px;margin-right:-15px;margin-bottom:8px;margin-left:-15px;border-top:1px solid transparent;border-bottom:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.1),0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 0 rgba(255,255,255,.1),0 1px 0 rgba(255,255,255,.1)}@media (min-width:768px){.navbar-form .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.navbar-form .form-control{display:inline-block;width:auto;vertical-align:middle}.navbar-form .form-control-static{display:inline-block}.navbar-form .input-group{display:inline-table;vertical-align:middle}.navbar-form .input-group .form-control,.navbar-form .input-group .input-group-addon,.navbar-form .input-group .input-group-btn{width:auto}.navbar-form .input-group>.form-control{width:100%}.navbar-form .control-label{margin-bottom:0;vertical-align:middle}.navbar-form .checkbox,.navbar-form .radio{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.navbar-form .checkbox label,.navbar-form .radio label{padding-left:0}.navbar-form .checkbox input[type=checkbox],.navbar-form .radio input[type=radio]{position:relative;margin-left:0}.navbar-form .has-feedback .form-control-feedback{top:0}}@media (max-width:767px){.navbar-form .form-group{margin-bottom:5px}.navbar-form .form-group:last-child{margin-bottom:0}}@media (min-width:768px){.navbar-form{width:auto;padding-top:0;padding-bottom:0;margin-right:0;margin-left:0;border:0;-webkit-box-shadow:none;box-shadow:none}}.navbar-nav>li>.dropdown-menu{margin-top:0;border-top-left-radius:0;border-top-right-radius:0}.navbar-fixed-bottom .navbar-nav>li>.dropdown-menu{margin-bottom:0;border-top-left-radius:4px;border-top-right-radius:4px;border-bottom-right-radius:0;border-bottom-left-radius:0}.navbar-btn{margin-top:8px;margin-bottom:8px}.navbar-btn.btn-sm{margin-top:10px;margin-bottom:10px}.navbar-btn.btn-xs{margin-top:14px;margin-bottom:14px}.navbar-text{margin-top:15px;margin-bottom:15px}@media (min-width:768px){.navbar-text{float:left;margin-right:15px;margin-left:15px}}@media (min-width:768px){.navbar-left{float:left!important}.navbar-right{float:right!important;margin-right:-15px}.navbar-right~.navbar-right{margin-right:0}}.navbar-default{background-color:#f8f8f8;border-color:#e7e7e7}.navbar-default .navbar-brand{color:#777}.navbar-default .navbar-brand:focus,.navbar-default .navbar-brand:hover{color:#5e5e5e;background-color:transparent}.navbar-default .navbar-text{color:#777}.navbar-default .navbar-nav>li>a{color:#777}.navbar-default .navbar-nav>li>a:focus,.navbar-default .navbar-nav>li>a:hover{color:#333;background-color:transparent}.navbar-default .navbar-nav>.active>a,.navbar-default .navbar-nav>.active>a:focus,.navbar-default .navbar-nav>.active>a:hover{color:#555;background-color:#e7e7e7}.navbar-default .navbar-nav>.disabled>a,.navbar-default .navbar-nav>.disabled>a:focus,.navbar-default .navbar-nav>.disabled>a:hover{color:#ccc;background-color:transparent}.navbar-default .navbar-toggle{border-color:#ddd}.navbar-default .navbar-toggle:focus,.navbar-default .navbar-toggle:hover{background-color:#ddd}.navbar-default .navbar-toggle .icon-bar{background-color:#888}.navbar-default .navbar-collapse,.navbar-default .navbar-form{border-color:#e7e7e7}.navbar-default .navbar-nav>.open>a,.navbar-default .navbar-nav>.open>a:focus,.navbar-default .navbar-nav>.open>a:hover{color:#555;background-color:#e7e7e7}@media (max-width:767px){.navbar-default .navbar-nav .open .dropdown-menu>li>a{color:#777}.navbar-default .navbar-nav .open .dropdown-menu>li>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>li>a:hover{color:#333;background-color:transparent}.navbar-default .navbar-nav .open .dropdown-menu>.active>a,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:hover{color:#555;background-color:#e7e7e7}.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:focus,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:hover{color:#ccc;background-color:transparent}}.navbar-default .navbar-link{color:#777}.navbar-default .navbar-link:hover{color:#333}.navbar-default .btn-link{color:#777}.navbar-default .btn-link:focus,.navbar-default .btn-link:hover{color:#333}.navbar-default .btn-link[disabled]:focus,.navbar-default .btn-link[disabled]:hover,fieldset[disabled] .navbar-default .btn-link:focus,fieldset[disabled] .navbar-default .btn-link:hover{color:#ccc}.navbar-inverse{background-color:#222;border-color:#080808}.navbar-inverse .navbar-brand{color:#9d9d9d}.navbar-inverse .navbar-brand:focus,.navbar-inverse .navbar-brand:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-text{color:#9d9d9d}.navbar-inverse .navbar-nav>li>a{color:#9d9d9d}.navbar-inverse .navbar-nav>li>a:focus,.navbar-inverse .navbar-nav>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-nav>.active>a,.navbar-inverse .navbar-nav>.active>a:focus,.navbar-inverse .navbar-nav>.active>a:hover{color:#fff;background-color:#080808}.navbar-inverse .navbar-nav>.disabled>a,.navbar-inverse .navbar-nav>.disabled>a:focus,.navbar-inverse .navbar-nav>.disabled>a:hover{color:#444;background-color:transparent}.navbar-inverse .navbar-toggle{border-color:#333}.navbar-inverse .navbar-toggle:focus,.navbar-inverse .navbar-toggle:hover{background-color:#333}.navbar-inverse .navbar-toggle .icon-bar{background-color:#fff}.navbar-inverse .navbar-collapse,.navbar-inverse .navbar-form{border-color:#101010}.navbar-inverse .navbar-nav>.open>a,.navbar-inverse .navbar-nav>.open>a:focus,.navbar-inverse .navbar-nav>.open>a:hover{color:#fff;background-color:#080808}@media (max-width:767px){.navbar-inverse .navbar-nav .open .dropdown-menu>.dropdown-header{border-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu .divider{background-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a{color:#9d9d9d}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:hover{color:#fff;background-color:transparent}.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:hover{color:#fff;background-color:#080808}.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:focus,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:hover{color:#444;background-color:transparent}}.navbar-inverse .navbar-link{color:#9d9d9d}.navbar-inverse .navbar-link:hover{color:#fff}.navbar-inverse .btn-link{color:#9d9d9d}.navbar-inverse .btn-link:focus,.navbar-inverse .btn-link:hover{color:#fff}.navbar-inverse .btn-link[disabled]:focus,.navbar-inverse .btn-link[disabled]:hover,fieldset[disabled] .navbar-inverse .btn-link:focus,fieldset[disabled] .navbar-inverse .btn-link:hover{color:#444}.breadcrumb{padding:8px 15px;margin-bottom:20px;list-style:none;background-color:#f5f5f5;border-radius:4px}.breadcrumb>li{display:inline-block}.breadcrumb>li+li:before{padding:0 5px;color:#ccc;content:"/\00a0"}.breadcrumb>.active{color:#777}.pagination{display:inline-block;padding-left:0;margin:20px 0;border-radius:4px}.pagination>li{display:inline}.pagination>li>a,.pagination>li>span{position:relative;float:left;padding:6px 12px;margin-left:-1px;line-height:1.42857143;color:#337ab7;text-decoration:none;background-color:#fff;border:1px solid #ddd}.pagination>li:first-child>a,.pagination>li:first-child>span{margin-left:0;border-top-left-radius:4px;border-bottom-left-radius:4px}.pagination>li:last-child>a,.pagination>li:last-child>span{border-top-right-radius:4px;border-bottom-right-radius:4px}.pagination>li>a:focus,.pagination>li>a:hover,.pagination>li>span:focus,.pagination>li>span:hover{z-index:3;color:#23527c;background-color:#eee;border-color:#ddd}.pagination>.active>a,.pagination>.active>a:focus,.pagination>.active>a:hover,.pagination>.active>span,.pagination>.active>span:focus,.pagination>.active>span:hover{z-index:2;color:#fff;cursor:default;background-color:#337ab7;border-color:#337ab7}.pagination>.disabled>a,.pagination>.disabled>a:focus,.pagination>.disabled>a:hover,.pagination>.disabled>span,.pagination>.disabled>span:focus,.pagination>.disabled>span:hover{color:#777;cursor:not-allowed;background-color:#fff;border-color:#ddd}.pagination-lg>li>a,.pagination-lg>li>span{padding:10px 16px;font-size:18px;line-height:1.3333333}.pagination-lg>li:first-child>a,.pagination-lg>li:first-child>span{border-top-left-radius:6px;border-bottom-left-radius:6px}.pagination-lg>li:last-child>a,.pagination-lg>li:last-child>span{border-top-right-radius:6px;border-bottom-right-radius:6px}.pagination-sm>li>a,.pagination-sm>li>span{padding:5px 10px;font-size:12px;line-height:1.5}.pagination-sm>li:first-child>a,.pagination-sm>li:first-child>span{border-top-left-radius:3px;border-bottom-left-radius:3px}.pagination-sm>li:last-child>a,.pagination-sm>li:last-child>span{border-top-right-radius:3px;border-bottom-right-radius:3px}.pager{padding-left:0;margin:20px 0;text-align:center;list-style:none}.pager li{display:inline}.pager li>a,.pager li>span{display:inline-block;padding:5px 14px;background-color:#fff;border:1px solid #ddd;border-radius:15px}.pager li>a:focus,.pager li>a:hover{text-decoration:none;background-color:#eee}.pager .next>a,.pager .next>span{float:right}.pager .previous>a,.pager .previous>span{float:left}.pager .disabled>a,.pager .disabled>a:focus,.pager .disabled>a:hover,.pager .disabled>span{color:#777;cursor:not-allowed;background-color:#fff}.label{display:inline;padding:.2em .6em .3em;font-size:75%;font-weight:700;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:.25em}a.label:focus,a.label:hover{color:#fff;text-decoration:none;cursor:pointer}.label:empty{display:none}.btn .label{position:relative;top:-1px}.label-default{background-color:#777}.label-default[href]:focus,.label-default[href]:hover{background-color:#5e5e5e}.label-primary{background-color:#337ab7}.label-primary[href]:focus,.label-primary[href]:hover{background-color:#286090}.label-success{background-color:#5cb85c}.label-success[href]:focus,.label-success[href]:hover{background-color:#449d44}.label-info{background-color:#5bc0de}.label-info[href]:focus,.label-info[href]:hover{background-color:#31b0d5}.label-warning{background-color:#f0ad4e}.label-warning[href]:focus,.label-warning[href]:hover{background-color:#ec971f}.label-danger{background-color:#d9534f}.label-danger[href]:focus,.label-danger[href]:hover{background-color:#c9302c}.badge{display:inline-block;min-width:10px;padding:3px 7px;font-size:12px;font-weight:700;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:middle;background-color:#777;border-radius:10px}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.btn-group-xs>.btn .badge,.btn-xs .badge{top:0;padding:1px 5px}a.badge:focus,a.badge:hover{color:#fff;text-decoration:none;cursor:pointer}.list-group-item.active>.badge,.nav-pills>.active>a>.badge{color:#337ab7;background-color:#fff}.list-group-item>.badge{float:right}.list-group-item>.badge+.badge{margin-right:5px}.nav-pills>li>a>.badge{margin-left:3px}.jumbotron{padding-top:30px;padding-bottom:30px;margin-bottom:30px;color:inherit;background-color:#eee}.jumbotron .h1,.jumbotron h1{color:inherit}.jumbotron p{margin-bottom:15px;font-size:21px;font-weight:200}.jumbotron>hr{border-top-color:#d5d5d5}.container .jumbotron,.container-fluid .jumbotron{border-radius:6px}.jumbotron .container{max-width:100%}@media screen and (min-width:768px){.jumbotron{padding-top:48px;padding-bottom:48px}.container .jumbotron,.container-fluid .jumbotron{padding-right:60px;padding-left:60px}.jumbotron .h1,.jumbotron h1{font-size:63px}}.thumbnail{display:block;padding:4px;margin-bottom:20px;line-height:1.42857143;background-color:#fff;border:1px solid #ddd;border-radius:4px;-webkit-transition:border .2s ease-in-out;-o-transition:border .2s ease-in-out;transition:border .2s ease-in-out}.thumbnail a>img,.thumbnail>img{margin-right:auto;margin-left:auto}a.thumbnail.active,a.thumbnail:focus,a.thumbnail:hover{border-color:#337ab7}.thumbnail .caption{padding:9px;color:#333}.alert{padding:15px;margin-bottom:20px;border:1px solid transparent;border-radius:4px}.alert h4{margin-top:0;color:inherit}.alert .alert-link{font-weight:700}.alert>p,.alert>ul{margin-bottom:0}.alert>p+p{margin-top:5px}.alert-dismissable,.alert-dismissible{padding-right:35px}.alert-dismissable .close,.alert-dismissible .close{position:relative;top:-2px;right:-21px;color:inherit}.alert-success{color:#3c763d;background-color:#dff0d8;border-color:#d6e9c6}.alert-success hr{border-top-color:#c9e2b3}.alert-success .alert-link{color:#2b542c}.alert-info{color:#31708f;background-color:#d9edf7;border-color:#bce8f1}.alert-info hr{border-top-color:#a6e1ec}.alert-info .alert-link{color:#245269}.alert-warning{color:#8a6d3b;background-color:#fcf8e3;border-color:#faebcc}.alert-warning hr{border-top-color:#f7e1b5}.alert-warning .alert-link{color:#66512c}.alert-danger{color:#a94442;background-color:#f2dede;border-color:#ebccd1}.alert-danger hr{border-top-color:#e4b9c0}.alert-danger .alert-link{color:#843534}@-webkit-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-o-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}.progress{height:20px;margin-bottom:20px;overflow:hidden;background-color:#f5f5f5;border-radius:4px;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,.1);box-shadow:inset 0 1px 2px rgba(0,0,0,.1)}.progress-bar{float:left;width:0;height:100%;font-size:12px;line-height:20px;color:#fff;text-align:center;background-color:#337ab7;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,.15);box-shadow:inset 0 -1px 0 rgba(0,0,0,.15);-webkit-transition:width .6s ease;-o-transition:width .6s ease;transition:width .6s ease}.progress-bar-striped,.progress-striped .progress-bar{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);-webkit-background-size:40px 40px;background-size:40px 40px}.progress-bar.active,.progress.active .progress-bar{-webkit-animation:progress-bar-stripes 2s linear infinite;-o-animation:progress-bar-stripes 2s linear infinite;animation:progress-bar-stripes 2s linear infinite}.progress-bar-success{background-color:#5cb85c}.progress-striped .progress-bar-success{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-info{background-color:#5bc0de}.progress-striped .progress-bar-info{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-warning{background-color:#f0ad4e}.progress-striped .progress-bar-warning{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.progress-bar-danger{background-color:#d9534f}.progress-striped .progress-bar-danger{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.media{margin-top:15px}.media:first-child{margin-top:0}.media,.media-body{overflow:hidden;zoom:1}.media-body{width:10000px}.media-object{display:block}.media-object.img-thumbnail{max-width:none}.media-right,.media>.pull-right{padding-left:10px}.media-left,.media>.pull-left{padding-right:10px}.media-body,.media-left,.media-right{display:table-cell;vertical-align:top}.media-middle{vertical-align:middle}.media-bottom{vertical-align:bottom}.media-heading{margin-top:0;margin-bottom:5px}.media-list{padding-left:0;list-style:none}.list-group{padding-left:0;margin-bottom:20px}.list-group-item{position:relative;display:block;padding:10px 15px;margin-bottom:-1px;background-color:#fff;border:1px solid #ddd}.list-group-item:first-child{border-top-left-radius:4px;border-top-right-radius:4px}.list-group-item:last-child{margin-bottom:0;border-bottom-right-radius:4px;border-bottom-left-radius:4px}a.list-group-item,button.list-group-item{color:#555}a.list-group-item .list-group-item-heading,button.list-group-item .list-group-item-heading{color:#333}a.list-group-item:focus,a.list-group-item:hover,button.list-group-item:focus,button.list-group-item:hover{color:#555;text-decoration:none;background-color:#f5f5f5}button.list-group-item{width:100%;text-align:left}.list-group-item.disabled,.list-group-item.disabled:focus,.list-group-item.disabled:hover{color:#777;cursor:not-allowed;background-color:#eee}.list-group-item.disabled .list-group-item-heading,.list-group-item.disabled:focus .list-group-item-heading,.list-group-item.disabled:hover .list-group-item-heading{color:inherit}.list-group-item.disabled .list-group-item-text,.list-group-item.disabled:focus .list-group-item-text,.list-group-item.disabled:hover .list-group-item-text{color:#777}.list-group-item.active,.list-group-item.active:focus,.list-group-item.active:hover{z-index:2;color:#fff;background-color:#337ab7;border-color:#337ab7}.list-group-item.active .list-group-item-heading,.list-group-item.active .list-group-item-heading>.small,.list-group-item.active .list-group-item-heading>small,.list-group-item.active:focus .list-group-item-heading,.list-group-item.active:focus .list-group-item-heading>.small,.list-group-item.active:focus .list-group-item-heading>small,.list-group-item.active:hover .list-group-item-heading,.list-group-item.active:hover .list-group-item-heading>.small,.list-group-item.active:hover .list-group-item-heading>small{color:inherit}.list-group-item.active .list-group-item-text,.list-group-item.active:focus .list-group-item-text,.list-group-item.active:hover .list-group-item-text{color:#c7ddef}.list-group-item-success{color:#3c763d;background-color:#dff0d8}a.list-group-item-success,button.list-group-item-success{color:#3c763d}a.list-group-item-success .list-group-item-heading,button.list-group-item-success .list-group-item-heading{color:inherit}a.list-group-item-success:focus,a.list-group-item-success:hover,button.list-group-item-success:focus,button.list-group-item-success:hover{color:#3c763d;background-color:#d0e9c6}a.list-group-item-success.active,a.list-group-item-success.active:focus,a.list-group-item-success.active:hover,button.list-group-item-success.active,button.list-group-item-success.active:focus,button.list-group-item-success.active:hover{color:#fff;background-color:#3c763d;border-color:#3c763d}.list-group-item-info{color:#31708f;background-color:#d9edf7}a.list-group-item-info,button.list-group-item-info{color:#31708f}a.list-group-item-info .list-group-item-heading,button.list-group-item-info .list-group-item-heading{color:inherit}a.list-group-item-info:focus,a.list-group-item-info:hover,button.list-group-item-info:focus,button.list-group-item-info:hover{color:#31708f;background-color:#c4e3f3}a.list-group-item-info.active,a.list-group-item-info.active:focus,a.list-group-item-info.active:hover,button.list-group-item-info.active,button.list-group-item-info.active:focus,button.list-group-item-info.active:hover{color:#fff;background-color:#31708f;border-color:#31708f}.list-group-item-warning{color:#8a6d3b;background-color:#fcf8e3}a.list-group-item-warning,button.list-group-item-warning{color:#8a6d3b}a.list-group-item-warning .list-group-item-heading,button.list-group-item-warning .list-group-item-heading{color:inherit}a.list-group-item-warning:focus,a.list-group-item-warning:hover,button.list-group-item-warning:focus,button.list-group-item-warning:hover{color:#8a6d3b;background-color:#faf2cc}a.list-group-item-warning.active,a.list-group-item-warning.active:focus,a.list-group-item-warning.active:hover,button.list-group-item-warning.active,button.list-group-item-warning.active:focus,button.list-group-item-warning.active:hover{color:#fff;background-color:#8a6d3b;border-color:#8a6d3b}.list-group-item-danger{color:#a94442;background-color:#f2dede}a.list-group-item-danger,button.list-group-item-danger{color:#a94442}a.list-group-item-danger .list-group-item-heading,button.list-group-item-danger .list-group-item-heading{color:inherit}a.list-group-item-danger:focus,a.list-group-item-danger:hover,button.list-group-item-danger:focus,button.list-group-item-danger:hover{color:#a94442;background-color:#ebcccc}a.list-group-item-danger.active,a.list-group-item-danger.active:focus,a.list-group-item-danger.active:hover,button.list-group-item-danger.active,button.list-group-item-danger.active:focus,button.list-group-item-danger.active:hover{color:#fff;background-color:#a94442;border-color:#a94442}.list-group-item-heading{margin-top:0;margin-bottom:5px}.list-group-item-text{margin-bottom:0;line-height:1.3}.panel{margin-bottom:20px;background-color:#fff;border:1px solid transparent;border-radius:4px;-webkit-box-shadow:0 1px 1px rgba(0,0,0,.05);box-shadow:0 1px 1px rgba(0,0,0,.05)}.panel-body{padding:15px}.panel-heading{padding:10px 15px;border-bottom:1px solid transparent;border-top-left-radius:3px;border-top-right-radius:3px}.panel-heading>.dropdown .dropdown-toggle{color:inherit}.panel-title{margin-top:0;margin-bottom:0;font-size:16px;color:inherit}.panel-title>.small,.panel-title>.small>a,.panel-title>a,.panel-title>small,.panel-title>small>a{color:inherit}.panel-footer{padding:10px 15px;background-color:#f5f5f5;border-top:1px solid #ddd;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.list-group,.panel>.panel-collapse>.list-group{margin-bottom:0}.panel>.list-group .list-group-item,.panel>.panel-collapse>.list-group .list-group-item{border-width:1px 0;border-radius:0}.panel>.list-group:first-child .list-group-item:first-child,.panel>.panel-collapse>.list-group:first-child .list-group-item:first-child{border-top:0;border-top-left-radius:3px;border-top-right-radius:3px}.panel>.list-group:last-child .list-group-item:last-child,.panel>.panel-collapse>.list-group:last-child .list-group-item:last-child{border-bottom:0;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.panel-heading+.panel-collapse>.list-group .list-group-item:first-child{border-top-left-radius:0;border-top-right-radius:0}.panel-heading+.list-group .list-group-item:first-child{border-top-width:0}.list-group+.panel-footer{border-top-width:0}.panel>.panel-collapse>.table,.panel>.table,.panel>.table-responsive>.table{margin-bottom:0}.panel>.panel-collapse>.table caption,.panel>.table caption,.panel>.table-responsive>.table caption{padding-right:15px;padding-left:15px}.panel>.table-responsive:first-child>.table:first-child,.panel>.table:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child,.panel>.table:first-child>thead:first-child>tr:first-child{border-top-left-radius:3px;border-top-right-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table:first-child>thead:first-child>tr:first-child th:first-child{border-top-left-radius:3px}.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table:first-child>thead:first-child>tr:first-child th:last-child{border-top-right-radius:3px}.panel>.table-responsive:last-child>.table:last-child,.panel>.table:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child{border-bottom-right-radius:3px;border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:first-child{border-bottom-left-radius:3px}.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:last-child{border-bottom-right-radius:3px}.panel>.panel-body+.table,.panel>.panel-body+.table-responsive,.panel>.table+.panel-body,.panel>.table-responsive+.panel-body{border-top:1px solid #ddd}.panel>.table>tbody:first-child>tr:first-child td,.panel>.table>tbody:first-child>tr:first-child th{border-top:0}.panel>.table-bordered,.panel>.table-responsive>.table-bordered{border:0}.panel>.table-bordered>tbody>tr>td:first-child,.panel>.table-bordered>tbody>tr>th:first-child,.panel>.table-bordered>tfoot>tr>td:first-child,.panel>.table-bordered>tfoot>tr>th:first-child,.panel>.table-bordered>thead>tr>td:first-child,.panel>.table-bordered>thead>tr>th:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:first-child,.panel>.table-responsive>.table-bordered>thead>tr>td:first-child,.panel>.table-responsive>.table-bordered>thead>tr>th:first-child{border-left:0}.panel>.table-bordered>tbody>tr>td:last-child,.panel>.table-bordered>tbody>tr>th:last-child,.panel>.table-bordered>tfoot>tr>td:last-child,.panel>.table-bordered>tfoot>tr>th:last-child,.panel>.table-bordered>thead>tr>td:last-child,.panel>.table-bordered>thead>tr>th:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:last-child,.panel>.table-responsive>.table-bordered>thead>tr>td:last-child,.panel>.table-responsive>.table-bordered>thead>tr>th:last-child{border-right:0}.panel>.table-bordered>tbody>tr:first-child>td,.panel>.table-bordered>tbody>tr:first-child>th,.panel>.table-bordered>thead>tr:first-child>td,.panel>.table-bordered>thead>tr:first-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>th,.panel>.table-responsive>.table-bordered>thead>tr:first-child>td,.panel>.table-responsive>.table-bordered>thead>tr:first-child>th{border-bottom:0}.panel>.table-bordered>tbody>tr:last-child>td,.panel>.table-bordered>tbody>tr:last-child>th,.panel>.table-bordered>tfoot>tr:last-child>td,.panel>.table-bordered>tfoot>tr:last-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>th,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>td,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}.panel>.table-responsive{margin-bottom:0;border:0}.panel-group{margin-bottom:20px}.panel-group .panel{margin-bottom:0;border-radius:4px}.panel-group .panel+.panel{margin-top:5px}.panel-group .panel-heading{border-bottom:0}.panel-group .panel-heading+.panel-collapse>.list-group,.panel-group .panel-heading+.panel-collapse>.panel-body{border-top:1px solid #ddd}.panel-group .panel-footer{border-top:0}.panel-group .panel-footer+.panel-collapse .panel-body{border-bottom:1px solid #ddd}.panel-default{border-color:#ddd}.panel-default>.panel-heading{color:#333;background-color:#f5f5f5;border-color:#ddd}.panel-default>.panel-heading+.panel-collapse>.panel-body{border-top-color:#ddd}.panel-default>.panel-heading .badge{color:#f5f5f5;background-color:#333}.panel-default>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#ddd}.panel-primary{border-color:#337ab7}.panel-primary>.panel-heading{color:#fff;background-color:#337ab7;border-color:#337ab7}.panel-primary>.panel-heading+.panel-collapse>.panel-body{border-top-color:#337ab7}.panel-primary>.panel-heading .badge{color:#337ab7;background-color:#fff}.panel-primary>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#337ab7}.panel-success{border-color:#d6e9c6}.panel-success>.panel-heading{color:#3c763d;background-color:#dff0d8;border-color:#d6e9c6}.panel-success>.panel-heading+.panel-collapse>.panel-body{border-top-color:#d6e9c6}.panel-success>.panel-heading .badge{color:#dff0d8;background-color:#3c763d}.panel-success>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#d6e9c6}.panel-info{border-color:#bce8f1}.panel-info>.panel-heading{color:#31708f;background-color:#d9edf7;border-color:#bce8f1}.panel-info>.panel-heading+.panel-collapse>.panel-body{border-top-color:#bce8f1}.panel-info>.panel-heading .badge{color:#d9edf7;background-color:#31708f}.panel-info>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#bce8f1}.panel-warning{border-color:#faebcc}.panel-warning>.panel-heading{color:#8a6d3b;background-color:#fcf8e3;border-color:#faebcc}.panel-warning>.panel-heading+.panel-collapse>.panel-body{border-top-color:#faebcc}.panel-warning>.panel-heading .badge{color:#fcf8e3;background-color:#8a6d3b}.panel-warning>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#faebcc}.panel-danger{border-color:#ebccd1}.panel-danger>.panel-heading{color:#a94442;background-color:#f2dede;border-color:#ebccd1}.panel-danger>.panel-heading+.panel-collapse>.panel-body{border-top-color:#ebccd1}.panel-danger>.panel-heading .badge{color:#f2dede;background-color:#a94442}.panel-danger>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#ebccd1}.embed-responsive{position:relative;display:block;height:0;padding:0;overflow:hidden}.embed-responsive .embed-responsive-item,.embed-responsive embed,.embed-responsive iframe,.embed-responsive object,.embed-responsive video{position:absolute;top:0;bottom:0;left:0;width:100%;height:100%;border:0}.embed-responsive-16by9{padding-bottom:56.25%}.embed-responsive-4by3{padding-bottom:75%}.well{min-height:20px;padding:19px;margin-bottom:20px;background-color:#f5f5f5;border:1px solid #e3e3e3;border-radius:4px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,.05);box-shadow:inset 0 1px 1px rgba(0,0,0,.05)}.well blockquote{border-color:#ddd;border-color:rgba(0,0,0,.15)}.well-lg{padding:24px;border-radius:6px}.well-sm{padding:9px;border-radius:3px}.close{float:right;font-size:21px;font-weight:700;line-height:1;color:#000;text-shadow:0 1px 0 #fff;filter:alpha(opacity=20);opacity:.2}.close:focus,.close:hover{color:#000;text-decoration:none;cursor:pointer;filter:alpha(opacity=50);opacity:.5}button.close{-webkit-appearance:none;padding:0;cursor:pointer;background:0 0;border:0}.modal-open{overflow:hidden}.modal{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1050;display:none;overflow:hidden;-webkit-overflow-scrolling:touch;outline:0}.modal.fade .modal-dialog{-webkit-transition:-webkit-transform .3s ease-out;-o-transition:-o-transform .3s ease-out;transition:transform .3s ease-out;-webkit-transform:translate(0,-25%);-ms-transform:translate(0,-25%);-o-transform:translate(0,-25%);transform:translate(0,-25%)}.modal.in .modal-dialog{-webkit-transform:translate(0,0);-ms-transform:translate(0,0);-o-transform:translate(0,0);transform:translate(0,0)}.modal-open .modal{overflow-x:hidden;overflow-y:auto}.modal-dialog{position:relative;width:auto;margin:10px}.modal-content{position:relative;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #999;border:1px solid rgba(0,0,0,.2);border-radius:6px;outline:0;-webkit-box-shadow:0 3px 9px rgba(0,0,0,.5);box-shadow:0 3px 9px rgba(0,0,0,.5)}.modal-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1040;background-color:#000}.modal-backdrop.fade{filter:alpha(opacity=0);opacity:0}.modal-backdrop.in{filter:alpha(opacity=50);opacity:.5}.modal-header{min-height:16.43px;padding:15px;border-bottom:1px solid #e5e5e5}.modal-header .close{margin-top:-2px}.modal-title{margin:0;line-height:1.42857143}.modal-body{position:relative;padding:15px}.modal-footer{padding:15px;text-align:right;border-top:1px solid #e5e5e5}.modal-footer .btn+.btn{margin-bottom:0;margin-left:5px}.modal-footer .btn-group .btn+.btn{margin-left:-1px}.modal-footer .btn-block+.btn-block{margin-left:0}.modal-scrollbar-measure{position:absolute;top:-9999px;width:50px;height:50px;overflow:scroll}@media (min-width:768px){.modal-dialog{width:600px;margin:30px auto}.modal-content{-webkit-box-shadow:0 5px 15px rgba(0,0,0,.5);box-shadow:0 5px 15px rgba(0,0,0,.5)}.modal-sm{width:300px}}@media (min-width:992px){.modal-lg{width:900px}}.tooltip{position:absolute;z-index:1070;display:block;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:12px;font-style:normal;font-weight:400;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;word-spacing:normal;word-wrap:normal;white-space:normal;filter:alpha(opacity=0);opacity:0;line-break:auto}.tooltip.in{filter:alpha(opacity=90);opacity:.9}.tooltip.top{padding:5px 0;margin-top:-3px}.tooltip.right{padding:0 5px;margin-left:3px}.tooltip.bottom{padding:5px 0;margin-top:3px}.tooltip.left{padding:0 5px;margin-left:-3px}.tooltip-inner{max-width:200px;padding:3px 8px;color:#fff;text-align:center;background-color:#000;border-radius:4px}.tooltip-arrow{position:absolute;width:0;height:0;border-color:transparent;border-style:solid}.tooltip.top .tooltip-arrow{bottom:0;left:50%;margin-left:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.top-left .tooltip-arrow{right:5px;bottom:0;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.top-right .tooltip-arrow{bottom:0;left:5px;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#000}.tooltip.right .tooltip-arrow{top:50%;left:0;margin-top:-5px;border-width:5px 5px 5px 0;border-right-color:#000}.tooltip.left .tooltip-arrow{top:50%;right:0;margin-top:-5px;border-width:5px 0 5px 5px;border-left-color:#000}.tooltip.bottom .tooltip-arrow{top:0;left:50%;margin-left:-5px;border-width:0 5px 5px;border-bottom-color:#000}.tooltip.bottom-left .tooltip-arrow{top:0;right:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000}.tooltip.bottom-right .tooltip-arrow{top:0;left:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#000}.popover{position:absolute;top:0;left:0;z-index:1060;display:none;max-width:276px;padding:1px;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px;font-style:normal;font-weight:400;line-height:1.42857143;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;word-spacing:normal;word-wrap:normal;white-space:normal;background-color:#fff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid #ccc;border:1px solid rgba(0,0,0,.2);border-radius:6px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,.2);box-shadow:0 5px 10px rgba(0,0,0,.2);line-break:auto}.popover.top{margin-top:-10px}.popover.right{margin-left:10px}.popover.bottom{margin-top:10px}.popover.left{margin-left:-10px}.popover-title{padding:8px 14px;margin:0;font-size:14px;background-color:#f7f7f7;border-bottom:1px solid #ebebeb;border-radius:5px 5px 0 0}.popover-content{padding:9px 14px}.popover>.arrow,.popover>.arrow:after{position:absolute;display:block;width:0;height:0;border-color:transparent;border-style:solid}.popover>.arrow{border-width:11px}.popover>.arrow:after{content:"";border-width:10px}.popover.top>.arrow{bottom:-11px;left:50%;margin-left:-11px;border-top-color:#999;border-top-color:rgba(0,0,0,.25);border-bottom-width:0}.popover.top>.arrow:after{bottom:1px;margin-left:-10px;content:" ";border-top-color:#fff;border-bottom-width:0}.popover.right>.arrow{top:50%;left:-11px;margin-top:-11px;border-right-color:#999;border-right-color:rgba(0,0,0,.25);border-left-width:0}.popover.right>.arrow:after{bottom:-10px;left:1px;content:" ";border-right-color:#fff;border-left-width:0}.popover.bottom>.arrow{top:-11px;left:50%;margin-left:-11px;border-top-width:0;border-bottom-color:#999;border-bottom-color:rgba(0,0,0,.25)}.popover.bottom>.arrow:after{top:1px;margin-left:-10px;content:" ";border-top-width:0;border-bottom-color:#fff}.popover.left>.arrow{top:50%;right:-11px;margin-top:-11px;border-right-width:0;border-left-color:#999;border-left-color:rgba(0,0,0,.25)}.popover.left>.arrow:after{right:1px;bottom:-10px;content:" ";border-right-width:0;border-left-color:#fff}.carousel{position:relative}.carousel-inner{position:relative;width:100%;overflow:hidden}.carousel-inner>.item{position:relative;display:none;-webkit-transition:.6s ease-in-out left;-o-transition:.6s ease-in-out left;transition:.6s ease-in-out left}.carousel-inner>.item>a>img,.carousel-inner>.item>img{line-height:1}@media all and (transform-3d),(-webkit-transform-3d){.carousel-inner>.item{-webkit-transition:-webkit-transform .6s ease-in-out;-o-transition:-o-transform .6s ease-in-out;transition:transform .6s ease-in-out;-webkit-backface-visibility:hidden;backface-visibility:hidden;-webkit-perspective:1000px;perspective:1000px}.carousel-inner>.item.active.right,.carousel-inner>.item.next{left:0;-webkit-transform:translate3d(100%,0,0);transform:translate3d(100%,0,0)}.carousel-inner>.item.active.left,.carousel-inner>.item.prev{left:0;-webkit-transform:translate3d(-100%,0,0);transform:translate3d(-100%,0,0)}.carousel-inner>.item.active,.carousel-inner>.item.next.left,.carousel-inner>.item.prev.right{left:0;-webkit-transform:translate3d(0,0,0);transform:translate3d(0,0,0)}}.carousel-inner>.active,.carousel-inner>.next,.carousel-inner>.prev{display:block}.carousel-inner>.active{left:0}.carousel-inner>.next,.carousel-inner>.prev{position:absolute;top:0;width:100%}.carousel-inner>.next{left:100%}.carousel-inner>.prev{left:-100%}.carousel-inner>.next.left,.carousel-inner>.prev.right{left:0}.carousel-inner>.active.left{left:-100%}.carousel-inner>.active.right{left:100%}.carousel-control{position:absolute;top:0;bottom:0;left:0;width:15%;font-size:20px;color:#fff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,.6);filter:alpha(opacity=50);opacity:.5}.carousel-control.left{background-image:-webkit-linear-gradient(left,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);background-image:-o-linear-gradient(left,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);background-image:-webkit-gradient(linear,left top,right top,from(rgba(0,0,0,.5)),to(rgba(0,0,0,.0001)));background-image:linear-gradient(to right,rgba(0,0,0,.5) 0,rgba(0,0,0,.0001) 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);background-repeat:repeat-x}.carousel-control.right{right:0;left:auto;background-image:-webkit-linear-gradient(left,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);background-image:-o-linear-gradient(left,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);background-image:-webkit-gradient(linear,left top,right top,from(rgba(0,0,0,.0001)),to(rgba(0,0,0,.5)));background-image:linear-gradient(to right,rgba(0,0,0,.0001) 0,rgba(0,0,0,.5) 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);background-repeat:repeat-x}.carousel-control:focus,.carousel-control:hover{color:#fff;text-decoration:none;filter:alpha(opacity=90);outline:0;opacity:.9}.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next,.carousel-control .icon-prev{position:absolute;top:50%;z-index:5;display:inline-block;margin-top:-10px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{left:50%;margin-left:-10px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{right:50%;margin-right:-10px}.carousel-control .icon-next,.carousel-control .icon-prev{width:20px;height:20px;font-family:serif;line-height:1}.carousel-control .icon-prev:before{content:'\2039'}.carousel-control .icon-next:before{content:'\203a'}.carousel-indicators{position:absolute;bottom:10px;left:50%;z-index:15;width:60%;padding-left:0;margin-left:-30%;text-align:center;list-style:none}.carousel-indicators li{display:inline-block;width:10px;height:10px;margin:1px;text-indent:-999px;cursor:pointer;background-color:#000\9;background-color:rgba(0,0,0,0);border:1px solid #fff;border-radius:10px}.carousel-indicators .active{width:12px;height:12px;margin:0;background-color:#fff}.carousel-caption{position:absolute;right:15%;bottom:20px;left:15%;z-index:10;padding-top:20px;padding-bottom:20px;color:#fff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,.6)}.carousel-caption .btn{text-shadow:none}@media screen and (min-width:768px){.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next,.carousel-control .icon-prev{width:30px;height:30px;margin-top:-15px;font-size:30px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{margin-left:-15px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{margin-right:-15px}.carousel-caption{right:20%;left:20%;padding-bottom:30px}.carousel-indicators{bottom:20px}}.btn-group-vertical>.btn-group:after,.btn-group-vertical>.btn-group:before,.btn-toolbar:after,.btn-toolbar:before,.clearfix:after,.clearfix:before,.container-fluid:after,.container-fluid:before,.container:after,.container:before,.dl-horizontal dd:after,.dl-horizontal dd:before,.form-horizontal .form-group:after,.form-horizontal .form-group:before,.modal-footer:after,.modal-footer:before,.nav:after,.nav:before,.navbar-collapse:after,.navbar-collapse:before,.navbar-header:after,.navbar-header:before,.navbar:after,.navbar:before,.pager:after,.pager:before,.panel-body:after,.panel-body:before,.row:after,.row:before{display:table;content:" "}.btn-group-vertical>.btn-group:after,.btn-toolbar:after,.clearfix:after,.container-fluid:after,.container:after,.dl-horizontal dd:after,.form-horizontal .form-group:after,.modal-footer:after,.nav:after,.navbar-collapse:after,.navbar-header:after,.navbar:after,.pager:after,.panel-body:after,.row:after{clear:both}.center-block{display:block;margin-right:auto;margin-left:auto}.pull-right{float:right!important}.pull-left{float:left!important}.hide{display:none!important}.show{display:block!important}.invisible{visibility:hidden}.text-hide{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.hidden{display:none!important}.affix{position:fixed}@-ms-viewport{width:device-width}.visible-lg,.visible-md,.visible-sm,.visible-xs{display:none!important}.visible-lg-block,.visible-lg-inline,.visible-lg-inline-block,.visible-md-block,.visible-md-inline,.visible-md-inline-block,.visible-sm-block,.visible-sm-inline,.visible-sm-inline-block,.visible-xs-block,.visible-xs-inline,.visible-xs-inline-block{display:none!important}@media (max-width:767px){.visible-xs{display:block!important}table.visible-xs{display:table!important}tr.visible-xs{display:table-row!important}td.visible-xs,th.visible-xs{display:table-cell!important}}@media (max-width:767px){.visible-xs-block{display:block!important}}@media (max-width:767px){.visible-xs-inline{display:inline!important}}@media (max-width:767px){.visible-xs-inline-block{display:inline-block!important}}@media (min-width:768px) and (max-width:991px){.visible-sm{display:block!important}table.visible-sm{display:table!important}tr.visible-sm{display:table-row!important}td.visible-sm,th.visible-sm{display:table-cell!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-block{display:block!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline{display:inline!important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline-block{display:inline-block!important}}@media (min-width:992px) and (max-width:1199px){.visible-md{display:block!important}table.visible-md{display:table!important}tr.visible-md{display:table-row!important}td.visible-md,th.visible-md{display:table-cell!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-block{display:block!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline{display:inline!important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline-block{display:inline-block!important}}@media (min-width:1200px){.visible-lg{display:block!important}table.visible-lg{display:table!important}tr.visible-lg{display:table-row!important}td.visible-lg,th.visible-lg{display:table-cell!important}}@media (min-width:1200px){.visible-lg-block{display:block!important}}@media (min-width:1200px){.visible-lg-inline{display:inline!important}}@media (min-width:1200px){.visible-lg-inline-block{display:inline-block!important}}@media (max-width:767px){.hidden-xs{display:none!important}}@media (min-width:768px) and (max-width:991px){.hidden-sm{display:none!important}}@media (min-width:992px) and (max-width:1199px){.hidden-md{display:none!important}}@media (min-width:1200px){.hidden-lg{display:none!important}}.visible-print{display:none!important}@media print{.visible-print{display:block!important}table.visible-print{display:table!important}tr.visible-print{display:table-row!important}td.visible-print,th.visible-print{display:table-cell!important}}.visible-print-block{display:none!important}@media print{.visible-print-block{display:block!important}}.visible-print-inline{display:none!important}@media print{.visible-print-inline{display:inline!important}}.visible-print-inline-block{display:none!important}@media print{.visible-print-inline-block{display:inline-block!important}}@media print{.hidden-print{display:none!important}}
</style>
<script>/*!
 * Bootstrap v3.3.5 (http://getbootstrap.com)
 * Copyright 2011-2015 Twitter, Inc.
 * Licensed under the MIT license
 */
if("undefined"==typeof jQuery)throw new Error("Bootstrap's JavaScript requires jQuery");+function(a){"use strict";var b=a.fn.jquery.split(" ")[0].split(".");if(b[0]<2&&b[1]<9||1==b[0]&&9==b[1]&&b[2]<1)throw new Error("Bootstrap's JavaScript requires jQuery version 1.9.1 or higher")}(jQuery),+function(a){"use strict";function b(){var a=document.createElement("bootstrap"),b={WebkitTransition:"webkitTransitionEnd",MozTransition:"transitionend",OTransition:"oTransitionEnd otransitionend",transition:"transitionend"};for(var c in b)if(void 0!==a.style[c])return{end:b[c]};return!1}a.fn.emulateTransitionEnd=function(b){var c=!1,d=this;a(this).one("bsTransitionEnd",function(){c=!0});var e=function(){c||a(d).trigger(a.support.transition.end)};return setTimeout(e,b),this},a(function(){a.support.transition=b(),a.support.transition&&(a.event.special.bsTransitionEnd={bindType:a.support.transition.end,delegateType:a.support.transition.end,handle:function(b){return a(b.target).is(this)?b.handleObj.handler.apply(this,arguments):void 0}})})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var c=a(this),e=c.data("bs.alert");e||c.data("bs.alert",e=new d(this)),"string"==typeof b&&e[b].call(c)})}var c='[data-dismiss="alert"]',d=function(b){a(b).on("click",c,this.close)};d.VERSION="3.3.5",d.TRANSITION_DURATION=150,d.prototype.close=function(b){function c(){g.detach().trigger("closed.bs.alert").remove()}var e=a(this),f=e.attr("data-target");f||(f=e.attr("href"),f=f&&f.replace(/.*(?=#[^\s]*$)/,""));var g=a(f);b&&b.preventDefault(),g.length||(g=e.closest(".alert")),g.trigger(b=a.Event("close.bs.alert")),b.isDefaultPrevented()||(g.removeClass("in"),a.support.transition&&g.hasClass("fade")?g.one("bsTransitionEnd",c).emulateTransitionEnd(d.TRANSITION_DURATION):c())};var e=a.fn.alert;a.fn.alert=b,a.fn.alert.Constructor=d,a.fn.alert.noConflict=function(){return a.fn.alert=e,this},a(document).on("click.bs.alert.data-api",c,d.prototype.close)}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.button"),f="object"==typeof b&&b;e||d.data("bs.button",e=new c(this,f)),"toggle"==b?e.toggle():b&&e.setState(b)})}var c=function(b,d){this.$element=a(b),this.options=a.extend({},c.DEFAULTS,d),this.isLoading=!1};c.VERSION="3.3.5",c.DEFAULTS={loadingText:"loading..."},c.prototype.setState=function(b){var c="disabled",d=this.$element,e=d.is("input")?"val":"html",f=d.data();b+="Text",null==f.resetText&&d.data("resetText",d[e]()),setTimeout(a.proxy(function(){d[e](null==f[b]?this.options[b]:f[b]),"loadingText"==b?(this.isLoading=!0,d.addClass(c).attr(c,c)):this.isLoading&&(this.isLoading=!1,d.removeClass(c).removeAttr(c))},this),0)},c.prototype.toggle=function(){var a=!0,b=this.$element.closest('[data-toggle="buttons"]');if(b.length){var c=this.$element.find("input");"radio"==c.prop("type")?(c.prop("checked")&&(a=!1),b.find(".active").removeClass("active"),this.$element.addClass("active")):"checkbox"==c.prop("type")&&(c.prop("checked")!==this.$element.hasClass("active")&&(a=!1),this.$element.toggleClass("active")),c.prop("checked",this.$element.hasClass("active")),a&&c.trigger("change")}else this.$element.attr("aria-pressed",!this.$element.hasClass("active")),this.$element.toggleClass("active")};var d=a.fn.button;a.fn.button=b,a.fn.button.Constructor=c,a.fn.button.noConflict=function(){return a.fn.button=d,this},a(document).on("click.bs.button.data-api",'[data-toggle^="button"]',function(c){var d=a(c.target);d.hasClass("btn")||(d=d.closest(".btn")),b.call(d,"toggle"),a(c.target).is('input[type="radio"]')||a(c.target).is('input[type="checkbox"]')||c.preventDefault()}).on("focus.bs.button.data-api blur.bs.button.data-api",'[data-toggle^="button"]',function(b){a(b.target).closest(".btn").toggleClass("focus",/^focus(in)?$/.test(b.type))})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.carousel"),f=a.extend({},c.DEFAULTS,d.data(),"object"==typeof b&&b),g="string"==typeof b?b:f.slide;e||d.data("bs.carousel",e=new c(this,f)),"number"==typeof b?e.to(b):g?e[g]():f.interval&&e.pause().cycle()})}var c=function(b,c){this.$element=a(b),this.$indicators=this.$element.find(".carousel-indicators"),this.options=c,this.paused=null,this.sliding=null,this.interval=null,this.$active=null,this.$items=null,this.options.keyboard&&this.$element.on("keydown.bs.carousel",a.proxy(this.keydown,this)),"hover"==this.options.pause&&!("ontouchstart"in document.documentElement)&&this.$element.on("mouseenter.bs.carousel",a.proxy(this.pause,this)).on("mouseleave.bs.carousel",a.proxy(this.cycle,this))};c.VERSION="3.3.5",c.TRANSITION_DURATION=600,c.DEFAULTS={interval:5e3,pause:"hover",wrap:!0,keyboard:!0},c.prototype.keydown=function(a){if(!/input|textarea/i.test(a.target.tagName)){switch(a.which){case 37:this.prev();break;case 39:this.next();break;default:return}a.preventDefault()}},c.prototype.cycle=function(b){return b||(this.paused=!1),this.interval&&clearInterval(this.interval),this.options.interval&&!this.paused&&(this.interval=setInterval(a.proxy(this.next,this),this.options.interval)),this},c.prototype.getItemIndex=function(a){return this.$items=a.parent().children(".item"),this.$items.index(a||this.$active)},c.prototype.getItemForDirection=function(a,b){var c=this.getItemIndex(b),d="prev"==a&&0===c||"next"==a&&c==this.$items.length-1;if(d&&!this.options.wrap)return b;var e="prev"==a?-1:1,f=(c+e)%this.$items.length;return this.$items.eq(f)},c.prototype.to=function(a){var b=this,c=this.getItemIndex(this.$active=this.$element.find(".item.active"));return a>this.$items.length-1||0>a?void 0:this.sliding?this.$element.one("slid.bs.carousel",function(){b.to(a)}):c==a?this.pause().cycle():this.slide(a>c?"next":"prev",this.$items.eq(a))},c.prototype.pause=function(b){return b||(this.paused=!0),this.$element.find(".next, .prev").length&&a.support.transition&&(this.$element.trigger(a.support.transition.end),this.cycle(!0)),this.interval=clearInterval(this.interval),this},c.prototype.next=function(){return this.sliding?void 0:this.slide("next")},c.prototype.prev=function(){return this.sliding?void 0:this.slide("prev")},c.prototype.slide=function(b,d){var e=this.$element.find(".item.active"),f=d||this.getItemForDirection(b,e),g=this.interval,h="next"==b?"left":"right",i=this;if(f.hasClass("active"))return this.sliding=!1;var j=f[0],k=a.Event("slide.bs.carousel",{relatedTarget:j,direction:h});if(this.$element.trigger(k),!k.isDefaultPrevented()){if(this.sliding=!0,g&&this.pause(),this.$indicators.length){this.$indicators.find(".active").removeClass("active");var l=a(this.$indicators.children()[this.getItemIndex(f)]);l&&l.addClass("active")}var m=a.Event("slid.bs.carousel",{relatedTarget:j,direction:h});return a.support.transition&&this.$element.hasClass("slide")?(f.addClass(b),f[0].offsetWidth,e.addClass(h),f.addClass(h),e.one("bsTransitionEnd",function(){f.removeClass([b,h].join(" ")).addClass("active"),e.removeClass(["active",h].join(" ")),i.sliding=!1,setTimeout(function(){i.$element.trigger(m)},0)}).emulateTransitionEnd(c.TRANSITION_DURATION)):(e.removeClass("active"),f.addClass("active"),this.sliding=!1,this.$element.trigger(m)),g&&this.cycle(),this}};var d=a.fn.carousel;a.fn.carousel=b,a.fn.carousel.Constructor=c,a.fn.carousel.noConflict=function(){return a.fn.carousel=d,this};var e=function(c){var d,e=a(this),f=a(e.attr("data-target")||(d=e.attr("href"))&&d.replace(/.*(?=#[^\s]+$)/,""));if(f.hasClass("carousel")){var g=a.extend({},f.data(),e.data()),h=e.attr("data-slide-to");h&&(g.interval=!1),b.call(f,g),h&&f.data("bs.carousel").to(h),c.preventDefault()}};a(document).on("click.bs.carousel.data-api","[data-slide]",e).on("click.bs.carousel.data-api","[data-slide-to]",e),a(window).on("load",function(){a('[data-ride="carousel"]').each(function(){var c=a(this);b.call(c,c.data())})})}(jQuery),+function(a){"use strict";function b(b){var c,d=b.attr("data-target")||(c=b.attr("href"))&&c.replace(/.*(?=#[^\s]+$)/,"");return a(d)}function c(b){return this.each(function(){var c=a(this),e=c.data("bs.collapse"),f=a.extend({},d.DEFAULTS,c.data(),"object"==typeof b&&b);!e&&f.toggle&&/show|hide/.test(b)&&(f.toggle=!1),e||c.data("bs.collapse",e=new d(this,f)),"string"==typeof b&&e[b]()})}var d=function(b,c){this.$element=a(b),this.options=a.extend({},d.DEFAULTS,c),this.$trigger=a('[data-toggle="collapse"][href="#'+b.id+'"],[data-toggle="collapse"][data-target="#'+b.id+'"]'),this.transitioning=null,this.options.parent?this.$parent=this.getParent():this.addAriaAndCollapsedClass(this.$element,this.$trigger),this.options.toggle&&this.toggle()};d.VERSION="3.3.5",d.TRANSITION_DURATION=350,d.DEFAULTS={toggle:!0},d.prototype.dimension=function(){var a=this.$element.hasClass("width");return a?"width":"height"},d.prototype.show=function(){if(!this.transitioning&&!this.$element.hasClass("in")){var b,e=this.$parent&&this.$parent.children(".panel").children(".in, .collapsing");if(!(e&&e.length&&(b=e.data("bs.collapse"),b&&b.transitioning))){var f=a.Event("show.bs.collapse");if(this.$element.trigger(f),!f.isDefaultPrevented()){e&&e.length&&(c.call(e,"hide"),b||e.data("bs.collapse",null));var g=this.dimension();this.$element.removeClass("collapse").addClass("collapsing")[g](0).attr("aria-expanded",!0),this.$trigger.removeClass("collapsed").attr("aria-expanded",!0),this.transitioning=1;var h=function(){this.$element.removeClass("collapsing").addClass("collapse in")[g](""),this.transitioning=0,this.$element.trigger("shown.bs.collapse")};if(!a.support.transition)return h.call(this);var i=a.camelCase(["scroll",g].join("-"));this.$element.one("bsTransitionEnd",a.proxy(h,this)).emulateTransitionEnd(d.TRANSITION_DURATION)[g](this.$element[0][i])}}}},d.prototype.hide=function(){if(!this.transitioning&&this.$element.hasClass("in")){var b=a.Event("hide.bs.collapse");if(this.$element.trigger(b),!b.isDefaultPrevented()){var c=this.dimension();this.$element[c](this.$element[c]())[0].offsetHeight,this.$element.addClass("collapsing").removeClass("collapse in").attr("aria-expanded",!1),this.$trigger.addClass("collapsed").attr("aria-expanded",!1),this.transitioning=1;var e=function(){this.transitioning=0,this.$element.removeClass("collapsing").addClass("collapse").trigger("hidden.bs.collapse")};return a.support.transition?void this.$element[c](0).one("bsTransitionEnd",a.proxy(e,this)).emulateTransitionEnd(d.TRANSITION_DURATION):e.call(this)}}},d.prototype.toggle=function(){this[this.$element.hasClass("in")?"hide":"show"]()},d.prototype.getParent=function(){return a(this.options.parent).find('[data-toggle="collapse"][data-parent="'+this.options.parent+'"]').each(a.proxy(function(c,d){var e=a(d);this.addAriaAndCollapsedClass(b(e),e)},this)).end()},d.prototype.addAriaAndCollapsedClass=function(a,b){var c=a.hasClass("in");a.attr("aria-expanded",c),b.toggleClass("collapsed",!c).attr("aria-expanded",c)};var e=a.fn.collapse;a.fn.collapse=c,a.fn.collapse.Constructor=d,a.fn.collapse.noConflict=function(){return a.fn.collapse=e,this},a(document).on("click.bs.collapse.data-api",'[data-toggle="collapse"]',function(d){var e=a(this);e.attr("data-target")||d.preventDefault();var f=b(e),g=f.data("bs.collapse"),h=g?"toggle":e.data();c.call(f,h)})}(jQuery),+function(a){"use strict";function b(b){var c=b.attr("data-target");c||(c=b.attr("href"),c=c&&/#[A-Za-z]/.test(c)&&c.replace(/.*(?=#[^\s]*$)/,""));var d=c&&a(c);return d&&d.length?d:b.parent()}function c(c){c&&3===c.which||(a(e).remove(),a(f).each(function(){var d=a(this),e=b(d),f={relatedTarget:this};e.hasClass("open")&&(c&&"click"==c.type&&/input|textarea/i.test(c.target.tagName)&&a.contains(e[0],c.target)||(e.trigger(c=a.Event("hide.bs.dropdown",f)),c.isDefaultPrevented()||(d.attr("aria-expanded","false"),e.removeClass("open").trigger("hidden.bs.dropdown",f))))}))}function d(b){return this.each(function(){var c=a(this),d=c.data("bs.dropdown");d||c.data("bs.dropdown",d=new g(this)),"string"==typeof b&&d[b].call(c)})}var e=".dropdown-backdrop",f='[data-toggle="dropdown"]',g=function(b){a(b).on("click.bs.dropdown",this.toggle)};g.VERSION="3.3.5",g.prototype.toggle=function(d){var e=a(this);if(!e.is(".disabled, :disabled")){var f=b(e),g=f.hasClass("open");if(c(),!g){"ontouchstart"in document.documentElement&&!f.closest(".navbar-nav").length&&a(document.createElement("div")).addClass("dropdown-backdrop").insertAfter(a(this)).on("click",c);var h={relatedTarget:this};if(f.trigger(d=a.Event("show.bs.dropdown",h)),d.isDefaultPrevented())return;e.trigger("focus").attr("aria-expanded","true"),f.toggleClass("open").trigger("shown.bs.dropdown",h)}return!1}},g.prototype.keydown=function(c){if(/(38|40|27|32)/.test(c.which)&&!/input|textarea/i.test(c.target.tagName)){var d=a(this);if(c.preventDefault(),c.stopPropagation(),!d.is(".disabled, :disabled")){var e=b(d),g=e.hasClass("open");if(!g&&27!=c.which||g&&27==c.which)return 27==c.which&&e.find(f).trigger("focus"),d.trigger("click");var h=" li:not(.disabled):visible a",i=e.find(".dropdown-menu"+h);if(i.length){var j=i.index(c.target);38==c.which&&j>0&&j--,40==c.which&&j<i.length-1&&j++,~j||(j=0),i.eq(j).trigger("focus")}}}};var h=a.fn.dropdown;a.fn.dropdown=d,a.fn.dropdown.Constructor=g,a.fn.dropdown.noConflict=function(){return a.fn.dropdown=h,this},a(document).on("click.bs.dropdown.data-api",c).on("click.bs.dropdown.data-api",".dropdown form",function(a){a.stopPropagation()}).on("click.bs.dropdown.data-api",f,g.prototype.toggle).on("keydown.bs.dropdown.data-api",f,g.prototype.keydown).on("keydown.bs.dropdown.data-api",".dropdown-menu",g.prototype.keydown)}(jQuery),+function(a){"use strict";function b(b,d){return this.each(function(){var e=a(this),f=e.data("bs.modal"),g=a.extend({},c.DEFAULTS,e.data(),"object"==typeof b&&b);f||e.data("bs.modal",f=new c(this,g)),"string"==typeof b?f[b](d):g.show&&f.show(d)})}var c=function(b,c){this.options=c,this.$body=a(document.body),this.$element=a(b),this.$dialog=this.$element.find(".modal-dialog"),this.$backdrop=null,this.isShown=null,this.originalBodyPad=null,this.scrollbarWidth=0,this.ignoreBackdropClick=!1,this.options.remote&&this.$element.find(".modal-content").load(this.options.remote,a.proxy(function(){this.$element.trigger("loaded.bs.modal")},this))};c.VERSION="3.3.5",c.TRANSITION_DURATION=300,c.BACKDROP_TRANSITION_DURATION=150,c.DEFAULTS={backdrop:!0,keyboard:!0,show:!0},c.prototype.toggle=function(a){return this.isShown?this.hide():this.show(a)},c.prototype.show=function(b){var d=this,e=a.Event("show.bs.modal",{relatedTarget:b});this.$element.trigger(e),this.isShown||e.isDefaultPrevented()||(this.isShown=!0,this.checkScrollbar(),this.setScrollbar(),this.$body.addClass("modal-open"),this.escape(),this.resize(),this.$element.on("click.dismiss.bs.modal",'[data-dismiss="modal"]',a.proxy(this.hide,this)),this.$dialog.on("mousedown.dismiss.bs.modal",function(){d.$element.one("mouseup.dismiss.bs.modal",function(b){a(b.target).is(d.$element)&&(d.ignoreBackdropClick=!0)})}),this.backdrop(function(){var e=a.support.transition&&d.$element.hasClass("fade");d.$element.parent().length||d.$element.appendTo(d.$body),d.$element.show().scrollTop(0),d.adjustDialog(),e&&d.$element[0].offsetWidth,d.$element.addClass("in"),d.enforceFocus();var f=a.Event("shown.bs.modal",{relatedTarget:b});e?d.$dialog.one("bsTransitionEnd",function(){d.$element.trigger("focus").trigger(f)}).emulateTransitionEnd(c.TRANSITION_DURATION):d.$element.trigger("focus").trigger(f)}))},c.prototype.hide=function(b){b&&b.preventDefault(),b=a.Event("hide.bs.modal"),this.$element.trigger(b),this.isShown&&!b.isDefaultPrevented()&&(this.isShown=!1,this.escape(),this.resize(),a(document).off("focusin.bs.modal"),this.$element.removeClass("in").off("click.dismiss.bs.modal").off("mouseup.dismiss.bs.modal"),this.$dialog.off("mousedown.dismiss.bs.modal"),a.support.transition&&this.$element.hasClass("fade")?this.$element.one("bsTransitionEnd",a.proxy(this.hideModal,this)).emulateTransitionEnd(c.TRANSITION_DURATION):this.hideModal())},c.prototype.enforceFocus=function(){a(document).off("focusin.bs.modal").on("focusin.bs.modal",a.proxy(function(a){this.$element[0]===a.target||this.$element.has(a.target).length||this.$element.trigger("focus")},this))},c.prototype.escape=function(){this.isShown&&this.options.keyboard?this.$element.on("keydown.dismiss.bs.modal",a.proxy(function(a){27==a.which&&this.hide()},this)):this.isShown||this.$element.off("keydown.dismiss.bs.modal")},c.prototype.resize=function(){this.isShown?a(window).on("resize.bs.modal",a.proxy(this.handleUpdate,this)):a(window).off("resize.bs.modal")},c.prototype.hideModal=function(){var a=this;this.$element.hide(),this.backdrop(function(){a.$body.removeClass("modal-open"),a.resetAdjustments(),a.resetScrollbar(),a.$element.trigger("hidden.bs.modal")})},c.prototype.removeBackdrop=function(){this.$backdrop&&this.$backdrop.remove(),this.$backdrop=null},c.prototype.backdrop=function(b){var d=this,e=this.$element.hasClass("fade")?"fade":"";if(this.isShown&&this.options.backdrop){var f=a.support.transition&&e;if(this.$backdrop=a(document.createElement("div")).addClass("modal-backdrop "+e).appendTo(this.$body),this.$element.on("click.dismiss.bs.modal",a.proxy(function(a){return this.ignoreBackdropClick?void(this.ignoreBackdropClick=!1):void(a.target===a.currentTarget&&("static"==this.options.backdrop?this.$element[0].focus():this.hide()))},this)),f&&this.$backdrop[0].offsetWidth,this.$backdrop.addClass("in"),!b)return;f?this.$backdrop.one("bsTransitionEnd",b).emulateTransitionEnd(c.BACKDROP_TRANSITION_DURATION):b()}else if(!this.isShown&&this.$backdrop){this.$backdrop.removeClass("in");var g=function(){d.removeBackdrop(),b&&b()};a.support.transition&&this.$element.hasClass("fade")?this.$backdrop.one("bsTransitionEnd",g).emulateTransitionEnd(c.BACKDROP_TRANSITION_DURATION):g()}else b&&b()},c.prototype.handleUpdate=function(){this.adjustDialog()},c.prototype.adjustDialog=function(){var a=this.$element[0].scrollHeight>document.documentElement.clientHeight;this.$element.css({paddingLeft:!this.bodyIsOverflowing&&a?this.scrollbarWidth:"",paddingRight:this.bodyIsOverflowing&&!a?this.scrollbarWidth:""})},c.prototype.resetAdjustments=function(){this.$element.css({paddingLeft:"",paddingRight:""})},c.prototype.checkScrollbar=function(){var a=window.innerWidth;if(!a){var b=document.documentElement.getBoundingClientRect();a=b.right-Math.abs(b.left)}this.bodyIsOverflowing=document.body.clientWidth<a,this.scrollbarWidth=this.measureScrollbar()},c.prototype.setScrollbar=function(){var a=parseInt(this.$body.css("padding-right")||0,10);this.originalBodyPad=document.body.style.paddingRight||"",this.bodyIsOverflowing&&this.$body.css("padding-right",a+this.scrollbarWidth)},c.prototype.resetScrollbar=function(){this.$body.css("padding-right",this.originalBodyPad)},c.prototype.measureScrollbar=function(){var a=document.createElement("div");a.className="modal-scrollbar-measure",this.$body.append(a);var b=a.offsetWidth-a.clientWidth;return this.$body[0].removeChild(a),b};var d=a.fn.modal;a.fn.modal=b,a.fn.modal.Constructor=c,a.fn.modal.noConflict=function(){return a.fn.modal=d,this},a(document).on("click.bs.modal.data-api",'[data-toggle="modal"]',function(c){var d=a(this),e=d.attr("href"),f=a(d.attr("data-target")||e&&e.replace(/.*(?=#[^\s]+$)/,"")),g=f.data("bs.modal")?"toggle":a.extend({remote:!/#/.test(e)&&e},f.data(),d.data());d.is("a")&&c.preventDefault(),f.one("show.bs.modal",function(a){a.isDefaultPrevented()||f.one("hidden.bs.modal",function(){d.is(":visible")&&d.trigger("focus")})}),b.call(f,g,this)})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.tooltip"),f="object"==typeof b&&b;(e||!/destroy|hide/.test(b))&&(e||d.data("bs.tooltip",e=new c(this,f)),"string"==typeof b&&e[b]())})}var c=function(a,b){this.type=null,this.options=null,this.enabled=null,this.timeout=null,this.hoverState=null,this.$element=null,this.inState=null,this.init("tooltip",a,b)};c.VERSION="3.3.5",c.TRANSITION_DURATION=150,c.DEFAULTS={animation:!0,placement:"top",selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',trigger:"hover focus",title:"",delay:0,html:!1,container:!1,viewport:{selector:"body",padding:0}},c.prototype.init=function(b,c,d){if(this.enabled=!0,this.type=b,this.$element=a(c),this.options=this.getOptions(d),this.$viewport=this.options.viewport&&a(a.isFunction(this.options.viewport)?this.options.viewport.call(this,this.$element):this.options.viewport.selector||this.options.viewport),this.inState={click:!1,hover:!1,focus:!1},this.$element[0]instanceof document.constructor&&!this.options.selector)throw new Error("`selector` option must be specified when initializing "+this.type+" on the window.document object!");for(var e=this.options.trigger.split(" "),f=e.length;f--;){var g=e[f];if("click"==g)this.$element.on("click."+this.type,this.options.selector,a.proxy(this.toggle,this));else if("manual"!=g){var h="hover"==g?"mouseenter":"focusin",i="hover"==g?"mouseleave":"focusout";this.$element.on(h+"."+this.type,this.options.selector,a.proxy(this.enter,this)),this.$element.on(i+"."+this.type,this.options.selector,a.proxy(this.leave,this))}}this.options.selector?this._options=a.extend({},this.options,{trigger:"manual",selector:""}):this.fixTitle()},c.prototype.getDefaults=function(){return c.DEFAULTS},c.prototype.getOptions=function(b){return b=a.extend({},this.getDefaults(),this.$element.data(),b),b.delay&&"number"==typeof b.delay&&(b.delay={show:b.delay,hide:b.delay}),b},c.prototype.getDelegateOptions=function(){var b={},c=this.getDefaults();return this._options&&a.each(this._options,function(a,d){c[a]!=d&&(b[a]=d)}),b},c.prototype.enter=function(b){var c=b instanceof this.constructor?b:a(b.currentTarget).data("bs."+this.type);return c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c)),b instanceof a.Event&&(c.inState["focusin"==b.type?"focus":"hover"]=!0),c.tip().hasClass("in")||"in"==c.hoverState?void(c.hoverState="in"):(clearTimeout(c.timeout),c.hoverState="in",c.options.delay&&c.options.delay.show?void(c.timeout=setTimeout(function(){"in"==c.hoverState&&c.show()},c.options.delay.show)):c.show())},c.prototype.isInStateTrue=function(){for(var a in this.inState)if(this.inState[a])return!0;return!1},c.prototype.leave=function(b){var c=b instanceof this.constructor?b:a(b.currentTarget).data("bs."+this.type);return c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c)),b instanceof a.Event&&(c.inState["focusout"==b.type?"focus":"hover"]=!1),c.isInStateTrue()?void 0:(clearTimeout(c.timeout),c.hoverState="out",c.options.delay&&c.options.delay.hide?void(c.timeout=setTimeout(function(){"out"==c.hoverState&&c.hide()},c.options.delay.hide)):c.hide())},c.prototype.show=function(){var b=a.Event("show.bs."+this.type);if(this.hasContent()&&this.enabled){this.$element.trigger(b);var d=a.contains(this.$element[0].ownerDocument.documentElement,this.$element[0]);if(b.isDefaultPrevented()||!d)return;var e=this,f=this.tip(),g=this.getUID(this.type);this.setContent(),f.attr("id",g),this.$element.attr("aria-describedby",g),this.options.animation&&f.addClass("fade");var h="function"==typeof this.options.placement?this.options.placement.call(this,f[0],this.$element[0]):this.options.placement,i=/\s?auto?\s?/i,j=i.test(h);j&&(h=h.replace(i,"")||"top"),f.detach().css({top:0,left:0,display:"block"}).addClass(h).data("bs."+this.type,this),this.options.container?f.appendTo(this.options.container):f.insertAfter(this.$element),this.$element.trigger("inserted.bs."+this.type);var k=this.getPosition(),l=f[0].offsetWidth,m=f[0].offsetHeight;if(j){var n=h,o=this.getPosition(this.$viewport);h="bottom"==h&&k.bottom+m>o.bottom?"top":"top"==h&&k.top-m<o.top?"bottom":"right"==h&&k.right+l>o.width?"left":"left"==h&&k.left-l<o.left?"right":h,f.removeClass(n).addClass(h)}var p=this.getCalculatedOffset(h,k,l,m);this.applyPlacement(p,h);var q=function(){var a=e.hoverState;e.$element.trigger("shown.bs."+e.type),e.hoverState=null,"out"==a&&e.leave(e)};a.support.transition&&this.$tip.hasClass("fade")?f.one("bsTransitionEnd",q).emulateTransitionEnd(c.TRANSITION_DURATION):q()}},c.prototype.applyPlacement=function(b,c){var d=this.tip(),e=d[0].offsetWidth,f=d[0].offsetHeight,g=parseInt(d.css("margin-top"),10),h=parseInt(d.css("margin-left"),10);isNaN(g)&&(g=0),isNaN(h)&&(h=0),b.top+=g,b.left+=h,a.offset.setOffset(d[0],a.extend({using:function(a){d.css({top:Math.round(a.top),left:Math.round(a.left)})}},b),0),d.addClass("in");var i=d[0].offsetWidth,j=d[0].offsetHeight;"top"==c&&j!=f&&(b.top=b.top+f-j);var k=this.getViewportAdjustedDelta(c,b,i,j);k.left?b.left+=k.left:b.top+=k.top;var l=/top|bottom/.test(c),m=l?2*k.left-e+i:2*k.top-f+j,n=l?"offsetWidth":"offsetHeight";d.offset(b),this.replaceArrow(m,d[0][n],l)},c.prototype.replaceArrow=function(a,b,c){this.arrow().css(c?"left":"top",50*(1-a/b)+"%").css(c?"top":"left","")},c.prototype.setContent=function(){var a=this.tip(),b=this.getTitle();a.find(".tooltip-inner")[this.options.html?"html":"text"](b),a.removeClass("fade in top bottom left right")},c.prototype.hide=function(b){function d(){"in"!=e.hoverState&&f.detach(),e.$element.removeAttr("aria-describedby").trigger("hidden.bs."+e.type),b&&b()}var e=this,f=a(this.$tip),g=a.Event("hide.bs."+this.type);return this.$element.trigger(g),g.isDefaultPrevented()?void 0:(f.removeClass("in"),a.support.transition&&f.hasClass("fade")?f.one("bsTransitionEnd",d).emulateTransitionEnd(c.TRANSITION_DURATION):d(),this.hoverState=null,this)},c.prototype.fixTitle=function(){var a=this.$element;(a.attr("title")||"string"!=typeof a.attr("data-original-title"))&&a.attr("data-original-title",a.attr("title")||"").attr("title","")},c.prototype.hasContent=function(){return this.getTitle()},c.prototype.getPosition=function(b){b=b||this.$element;var c=b[0],d="BODY"==c.tagName,e=c.getBoundingClientRect();null==e.width&&(e=a.extend({},e,{width:e.right-e.left,height:e.bottom-e.top}));var f=d?{top:0,left:0}:b.offset(),g={scroll:d?document.documentElement.scrollTop||document.body.scrollTop:b.scrollTop()},h=d?{width:a(window).width(),height:a(window).height()}:null;return a.extend({},e,g,h,f)},c.prototype.getCalculatedOffset=function(a,b,c,d){return"bottom"==a?{top:b.top+b.height,left:b.left+b.width/2-c/2}:"top"==a?{top:b.top-d,left:b.left+b.width/2-c/2}:"left"==a?{top:b.top+b.height/2-d/2,left:b.left-c}:{top:b.top+b.height/2-d/2,left:b.left+b.width}},c.prototype.getViewportAdjustedDelta=function(a,b,c,d){var e={top:0,left:0};if(!this.$viewport)return e;var f=this.options.viewport&&this.options.viewport.padding||0,g=this.getPosition(this.$viewport);if(/right|left/.test(a)){var h=b.top-f-g.scroll,i=b.top+f-g.scroll+d;h<g.top?e.top=g.top-h:i>g.top+g.height&&(e.top=g.top+g.height-i)}else{var j=b.left-f,k=b.left+f+c;j<g.left?e.left=g.left-j:k>g.right&&(e.left=g.left+g.width-k)}return e},c.prototype.getTitle=function(){var a,b=this.$element,c=this.options;return a=b.attr("data-original-title")||("function"==typeof c.title?c.title.call(b[0]):c.title)},c.prototype.getUID=function(a){do a+=~~(1e6*Math.random());while(document.getElementById(a));return a},c.prototype.tip=function(){if(!this.$tip&&(this.$tip=a(this.options.template),1!=this.$tip.length))throw new Error(this.type+" `template` option must consist of exactly 1 top-level element!");return this.$tip},c.prototype.arrow=function(){return this.$arrow=this.$arrow||this.tip().find(".tooltip-arrow")},c.prototype.enable=function(){this.enabled=!0},c.prototype.disable=function(){this.enabled=!1},c.prototype.toggleEnabled=function(){this.enabled=!this.enabled},c.prototype.toggle=function(b){var c=this;b&&(c=a(b.currentTarget).data("bs."+this.type),c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c))),b?(c.inState.click=!c.inState.click,c.isInStateTrue()?c.enter(c):c.leave(c)):c.tip().hasClass("in")?c.leave(c):c.enter(c)},c.prototype.destroy=function(){var a=this;clearTimeout(this.timeout),this.hide(function(){a.$element.off("."+a.type).removeData("bs."+a.type),a.$tip&&a.$tip.detach(),a.$tip=null,a.$arrow=null,a.$viewport=null})};var d=a.fn.tooltip;a.fn.tooltip=b,a.fn.tooltip.Constructor=c,a.fn.tooltip.noConflict=function(){return a.fn.tooltip=d,this}}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.popover"),f="object"==typeof b&&b;(e||!/destroy|hide/.test(b))&&(e||d.data("bs.popover",e=new c(this,f)),"string"==typeof b&&e[b]())})}var c=function(a,b){this.init("popover",a,b)};if(!a.fn.tooltip)throw new Error("Popover requires tooltip.js");c.VERSION="3.3.5",c.DEFAULTS=a.extend({},a.fn.tooltip.Constructor.DEFAULTS,{placement:"right",trigger:"click",content:"",template:'<div class="popover" role="tooltip"><div class="arrow"></div><h3 class="popover-title"></h3><div class="popover-content"></div></div>'}),c.prototype=a.extend({},a.fn.tooltip.Constructor.prototype),c.prototype.constructor=c,c.prototype.getDefaults=function(){return c.DEFAULTS},c.prototype.setContent=function(){var a=this.tip(),b=this.getTitle(),c=this.getContent();a.find(".popover-title")[this.options.html?"html":"text"](b),a.find(".popover-content").children().detach().end()[this.options.html?"string"==typeof c?"html":"append":"text"](c),a.removeClass("fade top bottom left right in"),a.find(".popover-title").html()||a.find(".popover-title").hide()},c.prototype.hasContent=function(){return this.getTitle()||this.getContent()},c.prototype.getContent=function(){var a=this.$element,b=this.options;return a.attr("data-content")||("function"==typeof b.content?b.content.call(a[0]):b.content)},c.prototype.arrow=function(){return this.$arrow=this.$arrow||this.tip().find(".arrow")};var d=a.fn.popover;a.fn.popover=b,a.fn.popover.Constructor=c,a.fn.popover.noConflict=function(){return a.fn.popover=d,this}}(jQuery),+function(a){"use strict";function b(c,d){this.$body=a(document.body),this.$scrollElement=a(a(c).is(document.body)?window:c),this.options=a.extend({},b.DEFAULTS,d),this.selector=(this.options.target||"")+" .nav li > a",this.offsets=[],this.targets=[],this.activeTarget=null,this.scrollHeight=0,this.$scrollElement.on("scroll.bs.scrollspy",a.proxy(this.process,this)),this.refresh(),this.process()}function c(c){return this.each(function(){var d=a(this),e=d.data("bs.scrollspy"),f="object"==typeof c&&c;e||d.data("bs.scrollspy",e=new b(this,f)),"string"==typeof c&&e[c]()})}b.VERSION="3.3.5",b.DEFAULTS={offset:10},b.prototype.getScrollHeight=function(){return this.$scrollElement[0].scrollHeight||Math.max(this.$body[0].scrollHeight,document.documentElement.scrollHeight)},b.prototype.refresh=function(){var b=this,c="offset",d=0;this.offsets=[],this.targets=[],this.scrollHeight=this.getScrollHeight(),a.isWindow(this.$scrollElement[0])||(c="position",d=this.$scrollElement.scrollTop()),this.$body.find(this.selector).map(function(){var b=a(this),e=b.data("target")||b.attr("href"),f=/^#./.test(e)&&a(e);return f&&f.length&&f.is(":visible")&&[[f[c]().top+d,e]]||null}).sort(function(a,b){return a[0]-b[0]}).each(function(){b.offsets.push(this[0]),b.targets.push(this[1])})},b.prototype.process=function(){var a,b=this.$scrollElement.scrollTop()+this.options.offset,c=this.getScrollHeight(),d=this.options.offset+c-this.$scrollElement.height(),e=this.offsets,f=this.targets,g=this.activeTarget;if(this.scrollHeight!=c&&this.refresh(),b>=d)return g!=(a=f[f.length-1])&&this.activate(a);if(g&&b<e[0])return this.activeTarget=null,this.clear();for(a=e.length;a--;)g!=f[a]&&b>=e[a]&&(void 0===e[a+1]||b<e[a+1])&&this.activate(f[a])},b.prototype.activate=function(b){this.activeTarget=b,this.clear();var c=this.selector+'[data-target="'+b+'"],'+this.selector+'[href="'+b+'"]',d=a(c).parents("li").addClass("active");d.parent(".dropdown-menu").length&&(d=d.closest("li.dropdown").addClass("active")),
d.trigger("activate.bs.scrollspy")},b.prototype.clear=function(){a(this.selector).parentsUntil(this.options.target,".active").removeClass("active")};var d=a.fn.scrollspy;a.fn.scrollspy=c,a.fn.scrollspy.Constructor=b,a.fn.scrollspy.noConflict=function(){return a.fn.scrollspy=d,this},a(window).on("load.bs.scrollspy.data-api",function(){a('[data-spy="scroll"]').each(function(){var b=a(this);c.call(b,b.data())})})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.tab");e||d.data("bs.tab",e=new c(this)),"string"==typeof b&&e[b]()})}var c=function(b){this.element=a(b)};c.VERSION="3.3.5",c.TRANSITION_DURATION=150,c.prototype.show=function(){var b=this.element,c=b.closest("ul:not(.dropdown-menu)"),d=b.data("target");if(d||(d=b.attr("href"),d=d&&d.replace(/.*(?=#[^\s]*$)/,"")),!b.parent("li").hasClass("active")){var e=c.find(".active:last a"),f=a.Event("hide.bs.tab",{relatedTarget:b[0]}),g=a.Event("show.bs.tab",{relatedTarget:e[0]});if(e.trigger(f),b.trigger(g),!g.isDefaultPrevented()&&!f.isDefaultPrevented()){var h=a(d);this.activate(b.closest("li"),c),this.activate(h,h.parent(),function(){e.trigger({type:"hidden.bs.tab",relatedTarget:b[0]}),b.trigger({type:"shown.bs.tab",relatedTarget:e[0]})})}}},c.prototype.activate=function(b,d,e){function f(){g.removeClass("active").find("> .dropdown-menu > .active").removeClass("active").end().find('[data-toggle="tab"]').attr("aria-expanded",!1),b.addClass("active").find('[data-toggle="tab"]').attr("aria-expanded",!0),h?(b[0].offsetWidth,b.addClass("in")):b.removeClass("fade"),b.parent(".dropdown-menu").length&&b.closest("li.dropdown").addClass("active").end().find('[data-toggle="tab"]').attr("aria-expanded",!0),e&&e()}var g=d.find("> .active"),h=e&&a.support.transition&&(g.length&&g.hasClass("fade")||!!d.find("> .fade").length);g.length&&h?g.one("bsTransitionEnd",f).emulateTransitionEnd(c.TRANSITION_DURATION):f(),g.removeClass("in")};var d=a.fn.tab;a.fn.tab=b,a.fn.tab.Constructor=c,a.fn.tab.noConflict=function(){return a.fn.tab=d,this};var e=function(c){c.preventDefault(),b.call(a(this),"show")};a(document).on("click.bs.tab.data-api",'[data-toggle="tab"]',e).on("click.bs.tab.data-api",'[data-toggle="pill"]',e)}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.affix"),f="object"==typeof b&&b;e||d.data("bs.affix",e=new c(this,f)),"string"==typeof b&&e[b]()})}var c=function(b,d){this.options=a.extend({},c.DEFAULTS,d),this.$target=a(this.options.target).on("scroll.bs.affix.data-api",a.proxy(this.checkPosition,this)).on("click.bs.affix.data-api",a.proxy(this.checkPositionWithEventLoop,this)),this.$element=a(b),this.affixed=null,this.unpin=null,this.pinnedOffset=null,this.checkPosition()};c.VERSION="3.3.5",c.RESET="affix affix-top affix-bottom",c.DEFAULTS={offset:0,target:window},c.prototype.getState=function(a,b,c,d){var e=this.$target.scrollTop(),f=this.$element.offset(),g=this.$target.height();if(null!=c&&"top"==this.affixed)return c>e?"top":!1;if("bottom"==this.affixed)return null!=c?e+this.unpin<=f.top?!1:"bottom":a-d>=e+g?!1:"bottom";var h=null==this.affixed,i=h?e:f.top,j=h?g:b;return null!=c&&c>=e?"top":null!=d&&i+j>=a-d?"bottom":!1},c.prototype.getPinnedOffset=function(){if(this.pinnedOffset)return this.pinnedOffset;this.$element.removeClass(c.RESET).addClass("affix");var a=this.$target.scrollTop(),b=this.$element.offset();return this.pinnedOffset=b.top-a},c.prototype.checkPositionWithEventLoop=function(){setTimeout(a.proxy(this.checkPosition,this),1)},c.prototype.checkPosition=function(){if(this.$element.is(":visible")){var b=this.$element.height(),d=this.options.offset,e=d.top,f=d.bottom,g=Math.max(a(document).height(),a(document.body).height());"object"!=typeof d&&(f=e=d),"function"==typeof e&&(e=d.top(this.$element)),"function"==typeof f&&(f=d.bottom(this.$element));var h=this.getState(g,b,e,f);if(this.affixed!=h){null!=this.unpin&&this.$element.css("top","");var i="affix"+(h?"-"+h:""),j=a.Event(i+".bs.affix");if(this.$element.trigger(j),j.isDefaultPrevented())return;this.affixed=h,this.unpin="bottom"==h?this.getPinnedOffset():null,this.$element.removeClass(c.RESET).addClass(i).trigger(i.replace("affix","affixed")+".bs.affix")}"bottom"==h&&this.$element.offset({top:g-b-f})}};var d=a.fn.affix;a.fn.affix=b,a.fn.affix.Constructor=c,a.fn.affix.noConflict=function(){return a.fn.affix=d,this},a(window).on("load",function(){a('[data-spy="affix"]').each(function(){var c=a(this),d=c.data();d.offset=d.offset||{},null!=d.offsetBottom&&(d.offset.bottom=d.offsetBottom),null!=d.offsetTop&&(d.offset.top=d.offsetTop),b.call(c,d)})})}(jQuery);</script>
<script>/**
* @preserve HTML5 Shiv 3.7.2 | @afarkas @jdalton @jon_neal @rem | MIT/GPL2 Licensed
*/
// Only run this code in IE 8
if (!!window.navigator.userAgent.match("MSIE 8")) {
!function(a,b){function c(a,b){var c=a.createElement("p"),d=a.getElementsByTagName("head")[0]||a.documentElement;return c.innerHTML="x<style>"+b+"</style>",d.insertBefore(c.lastChild,d.firstChild)}function d(){var a=t.elements;return"string"==typeof a?a.split(" "):a}function e(a,b){var c=t.elements;"string"!=typeof c&&(c=c.join(" ")),"string"!=typeof a&&(a=a.join(" ")),t.elements=c+" "+a,j(b)}function f(a){var b=s[a[q]];return b||(b={},r++,a[q]=r,s[r]=b),b}function g(a,c,d){if(c||(c=b),l)return c.createElement(a);d||(d=f(c));var e;return e=d.cache[a]?d.cache[a].cloneNode():p.test(a)?(d.cache[a]=d.createElem(a)).cloneNode():d.createElem(a),!e.canHaveChildren||o.test(a)||e.tagUrn?e:d.frag.appendChild(e)}function h(a,c){if(a||(a=b),l)return a.createDocumentFragment();c=c||f(a);for(var e=c.frag.cloneNode(),g=0,h=d(),i=h.length;i>g;g++)e.createElement(h[g]);return e}function i(a,b){b.cache||(b.cache={},b.createElem=a.createElement,b.createFrag=a.createDocumentFragment,b.frag=b.createFrag()),a.createElement=function(c){return t.shivMethods?g(c,a,b):b.createElem(c)},a.createDocumentFragment=Function("h,f","return function(){var n=f.cloneNode(),c=n.createElement;h.shivMethods&&("+d().join().replace(/[\w\-:]+/g,function(a){return b.createElem(a),b.frag.createElement(a),'c("'+a+'")'})+");return n}")(t,b.frag)}function j(a){a||(a=b);var d=f(a);return!t.shivCSS||k||d.hasCSS||(d.hasCSS=!!c(a,"article,aside,dialog,figcaption,figure,footer,header,hgroup,main,nav,section{display:block}mark{background:#FF0;color:#000}template{display:none}")),l||i(a,d),a}var k,l,m="3.7.2",n=a.html5||{},o=/^<|^(?:button|map|select|textarea|object|iframe|option|optgroup)$/i,p=/^(?:a|b|code|div|fieldset|h1|h2|h3|h4|h5|h6|i|label|li|ol|p|q|span|strong|style|table|tbody|td|th|tr|ul)$/i,q="_html5shiv",r=0,s={};!function(){try{var a=b.createElement("a");a.innerHTML="<xyz></xyz>",k="hidden"in a,l=1==a.childNodes.length||function(){b.createElement("a");var a=b.createDocumentFragment();return"undefined"==typeof a.cloneNode||"undefined"==typeof a.createDocumentFragment||"undefined"==typeof a.createElement}()}catch(c){k=!0,l=!0}}();var t={elements:n.elements||"abbr article aside audio bdi canvas data datalist details dialog figcaption figure footer header hgroup main mark meter nav output picture progress section summary template time video",version:m,shivCSS:n.shivCSS!==!1,supportsUnknownElements:l,shivMethods:n.shivMethods!==!1,type:"default",shivDocument:j,createElement:g,createDocumentFragment:h,addElements:e};a.html5=t,j(b)}(this,document);
};
</script>
<script>/*! Respond.js v1.4.2: min/max-width media query polyfill * Copyright 2013 Scott Jehl
 * Licensed under https://github.com/scottjehl/Respond/blob/master/LICENSE-MIT
 *  */

// Only run this code in IE 8
if (!!window.navigator.userAgent.match("MSIE 8")) {
!function(a){"use strict";a.matchMedia=a.matchMedia||function(a){var b,c=a.documentElement,d=c.firstElementChild||c.firstChild,e=a.createElement("body"),f=a.createElement("div");return f.id="mq-test-1",f.style.cssText="position:absolute;top:-100em",e.style.background="none",e.appendChild(f),function(a){return f.innerHTML='&shy;<style media="'+a+'"> #mq-test-1 { width: 42px; }</style>',c.insertBefore(e,d),b=42===f.offsetWidth,c.removeChild(e),{matches:b,media:a}}}(a.document)}(this),function(a){"use strict";function b(){u(!0)}var c={};a.respond=c,c.update=function(){};var d=[],e=function(){var b=!1;try{b=new a.XMLHttpRequest}catch(c){b=new a.ActiveXObject("Microsoft.XMLHTTP")}return function(){return b}}(),f=function(a,b){var c=e();c&&(c.open("GET",a,!0),c.onreadystatechange=function(){4!==c.readyState||200!==c.status&&304!==c.status||b(c.responseText)},4!==c.readyState&&c.send(null))};if(c.ajax=f,c.queue=d,c.regex={media:/@media[^\{]+\{([^\{\}]*\{[^\}\{]*\})+/gi,keyframes:/@(?:\-(?:o|moz|webkit)\-)?keyframes[^\{]+\{(?:[^\{\}]*\{[^\}\{]*\})+[^\}]*\}/gi,urls:/(url\()['"]?([^\/\)'"][^:\)'"]+)['"]?(\))/g,findStyles:/@media *([^\{]+)\{([\S\s]+?)$/,only:/(only\s+)?([a-zA-Z]+)\s?/,minw:/\([\s]*min\-width\s*:[\s]*([\s]*[0-9\.]+)(px|em)[\s]*\)/,maxw:/\([\s]*max\-width\s*:[\s]*([\s]*[0-9\.]+)(px|em)[\s]*\)/},c.mediaQueriesSupported=a.matchMedia&&null!==a.matchMedia("only all")&&a.matchMedia("only all").matches,!c.mediaQueriesSupported){var g,h,i,j=a.document,k=j.documentElement,l=[],m=[],n=[],o={},p=30,q=j.getElementsByTagName("head")[0]||k,r=j.getElementsByTagName("base")[0],s=q.getElementsByTagName("link"),t=function(){var a,b=j.createElement("div"),c=j.body,d=k.style.fontSize,e=c&&c.style.fontSize,f=!1;return b.style.cssText="position:absolute;font-size:1em;width:1em",c||(c=f=j.createElement("body"),c.style.background="none"),k.style.fontSize="100%",c.style.fontSize="100%",c.appendChild(b),f&&k.insertBefore(c,k.firstChild),a=b.offsetWidth,f?k.removeChild(c):c.removeChild(b),k.style.fontSize=d,e&&(c.style.fontSize=e),a=i=parseFloat(a)},u=function(b){var c="clientWidth",d=k[c],e="CSS1Compat"===j.compatMode&&d||j.body[c]||d,f={},o=s[s.length-1],r=(new Date).getTime();if(b&&g&&p>r-g)return a.clearTimeout(h),h=a.setTimeout(u,p),void 0;g=r;for(var v in l)if(l.hasOwnProperty(v)){var w=l[v],x=w.minw,y=w.maxw,z=null===x,A=null===y,B="em";x&&(x=parseFloat(x)*(x.indexOf(B)>-1?i||t():1)),y&&(y=parseFloat(y)*(y.indexOf(B)>-1?i||t():1)),w.hasquery&&(z&&A||!(z||e>=x)||!(A||y>=e))||(f[w.media]||(f[w.media]=[]),f[w.media].push(m[w.rules]))}for(var C in n)n.hasOwnProperty(C)&&n[C]&&n[C].parentNode===q&&q.removeChild(n[C]);n.length=0;for(var D in f)if(f.hasOwnProperty(D)){var E=j.createElement("style"),F=f[D].join("\n");E.type="text/css",E.media=D,q.insertBefore(E,o.nextSibling),E.styleSheet?E.styleSheet.cssText=F:E.appendChild(j.createTextNode(F)),n.push(E)}},v=function(a,b,d){var e=a.replace(c.regex.keyframes,"").match(c.regex.media),f=e&&e.length||0;b=b.substring(0,b.lastIndexOf("/"));var g=function(a){return a.replace(c.regex.urls,"$1"+b+"$2$3")},h=!f&&d;b.length&&(b+="/"),h&&(f=1);for(var i=0;f>i;i++){var j,k,n,o;h?(j=d,m.push(g(a))):(j=e[i].match(c.regex.findStyles)&&RegExp.$1,m.push(RegExp.$2&&g(RegExp.$2))),n=j.split(","),o=n.length;for(var p=0;o>p;p++)k=n[p],l.push({media:k.split("(")[0].match(c.regex.only)&&RegExp.$2||"all",rules:m.length-1,hasquery:k.indexOf("(")>-1,minw:k.match(c.regex.minw)&&parseFloat(RegExp.$1)+(RegExp.$2||""),maxw:k.match(c.regex.maxw)&&parseFloat(RegExp.$1)+(RegExp.$2||"")})}u()},w=function(){if(d.length){var b=d.shift();f(b.href,function(c){v(c,b.href,b.media),o[b.href]=!0,a.setTimeout(function(){w()},0)})}},x=function(){for(var b=0;b<s.length;b++){var c=s[b],e=c.href,f=c.media,g=c.rel&&"stylesheet"===c.rel.toLowerCase();e&&g&&!o[e]&&(c.styleSheet&&c.styleSheet.rawCssText?(v(c.styleSheet.rawCssText,e,f),o[e]=!0):(!/^([a-zA-Z:]*\/\/)/.test(e)&&!r||e.replace(RegExp.$1,"").split("/")[0]===a.location.host)&&("//"===e.substring(0,2)&&(e=a.location.protocol+e),d.push({href:e,media:f})))}w()};x(),c.update=x,c.getEmValue=t,a.addEventListener?a.addEventListener("resize",b,!1):a.attachEvent&&a.attachEvent("onresize",b)}}(this);
};
</script>
<style>h1 {font-size: 34px;}
h1.title {font-size: 38px;}
h2 {font-size: 30px;}
h3 {font-size: 24px;}
h4 {font-size: 18px;}
h5 {font-size: 16px;}
h6 {font-size: 12px;}
code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
pre:not([class]) { background-color: white }</style>
<script>

/**
 * jQuery Plugin: Sticky Tabs
 *
 * @author Aidan Lister <aidan@php.net>
 * adapted by Ruben Arslan to activate parent tabs too
 * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
 */
(function($) {
  "use strict";
  $.fn.rmarkdownStickyTabs = function() {
    var context = this;
    // Show the tab corresponding with the hash in the URL, or the first tab
    var showStuffFromHash = function() {
      var hash = window.location.hash;
      var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
      var $selector = $(selector, context);
      if($selector.data('toggle') === "tab") {
        $selector.tab('show');
        // walk up the ancestors of this element, show any hidden tabs
        $selector.parents('.section.tabset').each(function(i, elm) {
          var link = $('a[href="#' + $(elm).attr('id') + '"]');
          if(link.data('toggle') === "tab") {
            link.tab("show");
          }
        });
      }
    };


    // Set the correct tab when the page loads
    showStuffFromHash(context);

    // Set the correct tab when a user uses their back/forward button
    $(window).on('hashchange', function() {
      showStuffFromHash(context);
    });

    // Change the URL when tabs are clicked
    $('a', context).on('click', function(e) {
      history.pushState(null, null, this.href);
      showStuffFromHash(context);
    });

    return this;
  };
}(jQuery));

window.buildTabsets = function(tocID) {

  // build a tabset from a section div with the .tabset class
  function buildTabset(tabset) {

    // check for fade and pills options
    var fade = tabset.hasClass("tabset-fade");
    var pills = tabset.hasClass("tabset-pills");
    var navClass = pills ? "nav-pills" : "nav-tabs";

    // determine the heading level of the tabset and tabs
    var match = tabset.attr('class').match(/level(\d) /);
    if (match === null)
      return;
    var tabsetLevel = Number(match[1]);
    var tabLevel = tabsetLevel + 1;

    // find all subheadings immediately below
    var tabs = tabset.find("div.section.level" + tabLevel);
    if (!tabs.length)
      return;

    // create tablist and tab-content elements
    var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
    $(tabs[0]).before(tabList);
    var tabContent = $('<div class="tab-content"></div>');
    $(tabs[0]).before(tabContent);

    // build the tabset
    var activeTab = 0;
    tabs.each(function(i) {

      // get the tab div
      var tab = $(tabs[i]);

      // get the id then sanitize it for use with bootstrap tabs
      var id = tab.attr('id');

      // see if this is marked as the active tab
      if (tab.hasClass('active'))
        activeTab = i;

      // remove any table of contents entries associated with
      // this ID (since we'll be removing the heading element)
      $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();

      // sanitize the id for use with bootstrap tabs
      id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
      tab.attr('id', id);

      // get the heading element within it, grab it's text, then remove it
      var heading = tab.find('h' + tabLevel + ':first');
      var headingText = heading.html();
      heading.remove();

      // build and append the tab list item
      var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
      a.attr('href', '#' + id);
      a.attr('aria-controls', id);
      var li = $('<li role="presentation"></li>');
      li.append(a);
      tabList.append(li);

      // set it's attributes
      tab.attr('role', 'tabpanel');
      tab.addClass('tab-pane');
      tab.addClass('tabbed-pane');
      if (fade)
        tab.addClass('fade');

      // move it into the tab content div
      tab.detach().appendTo(tabContent);
    });

    // set active tab
    $(tabList.children('li')[activeTab]).addClass('active');
    var active = $(tabContent.children('div.section')[activeTab]);
    active.addClass('active');
    if (fade)
      active.addClass('in');

    if (tabset.hasClass("tabset-sticky"))
      tabset.rmarkdownStickyTabs();
  }

  // convert section divs with the .tabset class to tabsets
  var tabsets = $("div.section.tabset");
  tabsets.each(function(i) {
    buildTabset($(tabsets[i]));
  });
};

</script>
<style type="text/css">.hljs-literal {
color: #990073;
}
.hljs-number {
color: #099;
}
.hljs-comment {
color: #998;
font-style: italic;
}
.hljs-keyword {
color: #900;
font-weight: bold;
}
.hljs-string {
color: #d14;
}
</style>
<script src="data:application/javascript;base64,/*! highlight.js v9.12.0 | BSD3 License | git.io/hljslicense */
!function(e){var n="object"==typeof window&&window||"object"==typeof self&&self;"undefined"!=typeof exports?e(exports):n&&(n.hljs=e({}),"function"==typeof define&&define.amd&&define([],function(){return n.hljs}))}(function(e){function n(e){return e.replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;")}function t(e){return e.nodeName.toLowerCase()}function r(e,n){var t=e&&e.exec(n);return t&&0===t.index}function a(e){return k.test(e)}function i(e){var n,t,r,i,o=e.className+" ";if(o+=e.parentNode?e.parentNode.className:"",t=B.exec(o))return w(t[1])?t[1]:"no-highlight";for(o=o.split(/\s+/),n=0,r=o.length;r>n;n++)if(i=o[n],a(i)||w(i))return i}function o(e){var n,t={},r=Array.prototype.slice.call(arguments,1);for(n in e)t[n]=e[n];return r.forEach(function(e){for(n in e)t[n]=e[n]}),t}function u(e){var n=[];return function r(e,a){for(var i=e.firstChild;i;i=i.nextSibling)3===i.nodeType?a+=i.nodeValue.length:1===i.nodeType&&(n.push({event:"start",offset:a,node:i}),a=r(i,a),t(i).match(/br|hr|img|input/)||n.push({event:"stop",offset:a,node:i}));return a}(e,0),n}function c(e,r,a){function i(){return e.length&&r.length?e[0].offset!==r[0].offset?e[0].offset<r[0].offset?e:r:"start"===r[0].event?e:r:e.length?e:r}function o(e){function r(e){return" "+e.nodeName+'="'+n(e.value).replace('"',"&quot;")+'"'}s+="<"+t(e)+E.map.call(e.attributes,r).join("")+">"}function u(e){s+="</"+t(e)+">"}function c(e){("start"===e.event?o:u)(e.node)}for(var l=0,s="",f=[];e.length||r.length;){var g=i();if(s+=n(a.substring(l,g[0].offset)),l=g[0].offset,g===e){f.reverse().forEach(u);do c(g.splice(0,1)[0]),g=i();while(g===e&&g.length&&g[0].offset===l);f.reverse().forEach(o)}else"start"===g[0].event?f.push(g[0].node):f.pop(),c(g.splice(0,1)[0])}return s+n(a.substr(l))}function l(e){return e.v&&!e.cached_variants&&(e.cached_variants=e.v.map(function(n){return o(e,{v:null},n)})),e.cached_variants||e.eW&&[o(e)]||[e]}function s(e){function n(e){return e&&e.source||e}function t(t,r){return new RegExp(n(t),"m"+(e.cI?"i":"")+(r?"g":""))}function r(a,i){if(!a.compiled){if(a.compiled=!0,a.k=a.k||a.bK,a.k){var o={},u=function(n,t){e.cI&&(t=t.toLowerCase()),t.split(" ").forEach(function(e){var t=e.split("|");o[t[0]]=[n,t[1]?Number(t[1]):1]})};"string"==typeof a.k?u("keyword",a.k):x(a.k).forEach(function(e){u(e,a.k[e])}),a.k=o}a.lR=t(a.l||/\w+/,!0),i&&(a.bK&&(a.b="\\b("+a.bK.split(" ").join("|")+")\\b"),a.b||(a.b=/\B|\b/),a.bR=t(a.b),a.e||a.eW||(a.e=/\B|\b/),a.e&&(a.eR=t(a.e)),a.tE=n(a.e)||"",a.eW&&i.tE&&(a.tE+=(a.e?"|":"")+i.tE)),a.i&&(a.iR=t(a.i)),null==a.r&&(a.r=1),a.c||(a.c=[]),a.c=Array.prototype.concat.apply([],a.c.map(function(e){return l("self"===e?a:e)})),a.c.forEach(function(e){r(e,a)}),a.starts&&r(a.starts,i);var c=a.c.map(function(e){return e.bK?"\\.?("+e.b+")\\.?":e.b}).concat([a.tE,a.i]).map(n).filter(Boolean);a.t=c.length?t(c.join("|"),!0):{exec:function(){return null}}}}r(e)}function f(e,t,a,i){function o(e,n){var t,a;for(t=0,a=n.c.length;a>t;t++)if(r(n.c[t].bR,e))return n.c[t]}function u(e,n){if(r(e.eR,n)){for(;e.endsParent&&e.parent;)e=e.parent;return e}return e.eW?u(e.parent,n):void 0}function c(e,n){return!a&&r(n.iR,e)}function l(e,n){var t=N.cI?n[0].toLowerCase():n[0];return e.k.hasOwnProperty(t)&&e.k[t]}function p(e,n,t,r){var a=r?"":I.classPrefix,i='<span class="'+a,o=t?"":C;return i+=e+'">',i+n+o}function h(){var e,t,r,a;if(!E.k)return n(k);for(a="",t=0,E.lR.lastIndex=0,r=E.lR.exec(k);r;)a+=n(k.substring(t,r.index)),e=l(E,r),e?(B+=e[1],a+=p(e[0],n(r[0]))):a+=n(r[0]),t=E.lR.lastIndex,r=E.lR.exec(k);return a+n(k.substr(t))}function d(){var e="string"==typeof E.sL;if(e&&!y[E.sL])return n(k);var t=e?f(E.sL,k,!0,x[E.sL]):g(k,E.sL.length?E.sL:void 0);return E.r>0&&(B+=t.r),e&&(x[E.sL]=t.top),p(t.language,t.value,!1,!0)}function b(){L+=null!=E.sL?d():h(),k=""}function v(e){L+=e.cN?p(e.cN,"",!0):"",E=Object.create(e,{parent:{value:E}})}function m(e,n){if(k+=e,null==n)return b(),0;var t=o(n,E);if(t)return t.skip?k+=n:(t.eB&&(k+=n),b(),t.rB||t.eB||(k=n)),v(t,n),t.rB?0:n.length;var r=u(E,n);if(r){var a=E;a.skip?k+=n:(a.rE||a.eE||(k+=n),b(),a.eE&&(k=n));do E.cN&&(L+=C),E.skip||(B+=E.r),E=E.parent;while(E!==r.parent);return r.starts&&v(r.starts,""),a.rE?0:n.length}if(c(n,E))throw new Error('Illegal lexeme "'+n+'" for mode "'+(E.cN||"<unnamed>")+'"');return k+=n,n.length||1}var N=w(e);if(!N)throw new Error('Unknown language: "'+e+'"');s(N);var R,E=i||N,x={},L="";for(R=E;R!==N;R=R.parent)R.cN&&(L=p(R.cN,"",!0)+L);var k="",B=0;try{for(var M,j,O=0;;){if(E.t.lastIndex=O,M=E.t.exec(t),!M)break;j=m(t.substring(O,M.index),M[0]),O=M.index+j}for(m(t.substr(O)),R=E;R.parent;R=R.parent)R.cN&&(L+=C);return{r:B,value:L,language:e,top:E}}catch(T){if(T.message&&-1!==T.message.indexOf("Illegal"))return{r:0,value:n(t)};throw T}}function g(e,t){t=t||I.languages||x(y);var r={r:0,value:n(e)},a=r;return t.filter(w).forEach(function(n){var t=f(n,e,!1);t.language=n,t.r>a.r&&(a=t),t.r>r.r&&(a=r,r=t)}),a.language&&(r.second_best=a),r}function p(e){return I.tabReplace||I.useBR?e.replace(M,function(e,n){return I.useBR&&"\n"===e?"<br>":I.tabReplace?n.replace(/\t/g,I.tabReplace):""}):e}function h(e,n,t){var r=n?L[n]:t,a=[e.trim()];return e.match(/\bhljs\b/)||a.push("hljs"),-1===e.indexOf(r)&&a.push(r),a.join(" ").trim()}function d(e){var n,t,r,o,l,s=i(e);a(s)||(I.useBR?(n=document.createElementNS("http://www.w3.org/1999/xhtml","div"),n.innerHTML=e.innerHTML.replace(/\n/g,"").replace(/<br[ \/]*>/g,"\n")):n=e,l=n.textContent,r=s?f(s,l,!0):g(l),t=u(n),t.length&&(o=document.createElementNS("http://www.w3.org/1999/xhtml","div"),o.innerHTML=r.value,r.value=c(t,u(o),l)),r.value=p(r.value),e.innerHTML=r.value,e.className=h(e.className,s,r.language),e.result={language:r.language,re:r.r},r.second_best&&(e.second_best={language:r.second_best.language,re:r.second_best.r}))}function b(e){I=o(I,e)}function v(){if(!v.called){v.called=!0;var e=document.querySelectorAll("pre code");E.forEach.call(e,d)}}function m(){addEventListener("DOMContentLoaded",v,!1),addEventListener("load",v,!1)}function N(n,t){var r=y[n]=t(e);r.aliases&&r.aliases.forEach(function(e){L[e]=n})}function R(){return x(y)}function w(e){return e=(e||"").toLowerCase(),y[e]||y[L[e]]}var E=[],x=Object.keys,y={},L={},k=/^(no-?highlight|plain|text)$/i,B=/\blang(?:uage)?-([\w-]+)\b/i,M=/((^(<[^>]+>|\t|)+|(?:\n)))/gm,C="</span>",I={classPrefix:"hljs-",tabReplace:null,useBR:!1,languages:void 0};return e.highlight=f,e.highlightAuto=g,e.fixMarkup=p,e.highlightBlock=d,e.configure=b,e.initHighlighting=v,e.initHighlightingOnLoad=m,e.registerLanguage=N,e.listLanguages=R,e.getLanguage=w,e.inherit=o,e.IR="[a-zA-Z]\\w*",e.UIR="[a-zA-Z_]\\w*",e.NR="\\b\\d+(\\.\\d+)?",e.CNR="(-?)(\\b0[xX][a-fA-F0-9]+|(\\b\\d+(\\.\\d*)?|\\.\\d+)([eE][-+]?\\d+)?)",e.BNR="\\b(0b[01]+)",e.RSR="!|!=|!==|%|%=|&|&&|&=|\\*|\\*=|\\+|\\+=|,|-|-=|/=|/|:|;|<<|<<=|<=|<|===|==|=|>>>=|>>=|>=|>>>|>>|>|\\?|\\[|\\{|\\(|\\^|\\^=|\\||\\|=|\\|\\||~",e.BE={b:"\\\\[\\s\\S]",r:0},e.ASM={cN:"string",b:"'",e:"'",i:"\\n",c:[e.BE]},e.QSM={cN:"string",b:'"',e:'"',i:"\\n",c:[e.BE]},e.PWM={b:/\b(a|an|the|are|I'm|isn't|don't|doesn't|won't|but|just|should|pretty|simply|enough|gonna|going|wtf|so|such|will|you|your|they|like|more)\b/},e.C=function(n,t,r){var a=e.inherit({cN:"comment",b:n,e:t,c:[]},r||{});return a.c.push(e.PWM),a.c.push({cN:"doctag",b:"(?:TODO|FIXME|NOTE|BUG|XXX):",r:0}),a},e.CLCM=e.C("//","$"),e.CBCM=e.C("/\\*","\\*/"),e.HCM=e.C("#","$"),e.NM={cN:"number",b:e.NR,r:0},e.CNM={cN:"number",b:e.CNR,r:0},e.BNM={cN:"number",b:e.BNR,r:0},e.CSSNM={cN:"number",b:e.NR+"(%|em|ex|ch|rem|vw|vh|vmin|vmax|cm|mm|in|pt|pc|px|deg|grad|rad|turn|s|ms|Hz|kHz|dpi|dpcm|dppx)?",r:0},e.RM={cN:"regexp",b:/\//,e:/\/[gimuy]*/,i:/\n/,c:[e.BE,{b:/\[/,e:/\]/,r:0,c:[e.BE]}]},e.TM={cN:"title",b:e.IR,r:0},e.UTM={cN:"title",b:e.UIR,r:0},e.METHOD_GUARD={b:"\\.\\s*"+e.UIR,r:0},e});hljs.registerLanguage("sql",function(e){var t=e.C("--","$");return{cI:!0,i:/[<>{}*#]/,c:[{bK:"begin end start commit rollback savepoint lock alter create drop rename call delete do handler insert load replace select truncate update set show pragma grant merge describe use explain help declare prepare execute deallocate release unlock purge reset change stop analyze cache flush optimize repair kill install uninstall checksum restore check backup revoke comment",e:/;/,eW:!0,l:/[\w\.]+/,k:{keyword:"abort abs absolute acc acce accep accept access accessed accessible account acos action activate add addtime admin administer advanced advise aes_decrypt aes_encrypt after agent aggregate ali alia alias allocate allow alter always analyze ancillary and any anydata anydataset anyschema anytype apply archive archived archivelog are as asc ascii asin assembly assertion associate asynchronous at atan atn2 attr attri attrib attribu attribut attribute attributes audit authenticated authentication authid authors auto autoallocate autodblink autoextend automatic availability avg backup badfile basicfile before begin beginning benchmark between bfile bfile_base big bigfile bin binary_double binary_float binlog bit_and bit_count bit_length bit_or bit_xor bitmap blob_base block blocksize body both bound buffer_cache buffer_pool build bulk by byte byteordermark bytes cache caching call calling cancel capacity cascade cascaded case cast catalog category ceil ceiling chain change changed char_base char_length character_length characters characterset charindex charset charsetform charsetid check checksum checksum_agg child choose chr chunk class cleanup clear client clob clob_base clone close cluster_id cluster_probability cluster_set clustering coalesce coercibility col collate collation collect colu colum column column_value columns columns_updated comment commit compact compatibility compiled complete composite_limit compound compress compute concat concat_ws concurrent confirm conn connec connect connect_by_iscycle connect_by_isleaf connect_by_root connect_time connection consider consistent constant constraint constraints constructor container content contents context contributors controlfile conv convert convert_tz corr corr_k corr_s corresponding corruption cos cost count count_big counted covar_pop covar_samp cpu_per_call cpu_per_session crc32 create creation critical cross cube cume_dist curdate current current_date current_time current_timestamp current_user cursor curtime customdatum cycle data database databases datafile datafiles datalength date_add date_cache date_format date_sub dateadd datediff datefromparts datename datepart datetime2fromparts day day_to_second dayname dayofmonth dayofweek dayofyear days db_role_change dbtimezone ddl deallocate declare decode decompose decrement decrypt deduplicate def defa defau defaul default defaults deferred defi defin define degrees delayed delegate delete delete_all delimited demand dense_rank depth dequeue des_decrypt des_encrypt des_key_file desc descr descri describ describe descriptor deterministic diagnostics difference dimension direct_load directory disable disable_all disallow disassociate discardfile disconnect diskgroup distinct distinctrow distribute distributed div do document domain dotnet double downgrade drop dumpfile duplicate duration each edition editionable editions element ellipsis else elsif elt empty enable enable_all enclosed encode encoding encrypt end end-exec endian enforced engine engines enqueue enterprise entityescaping eomonth error errors escaped evalname evaluate event eventdata events except exception exceptions exchange exclude excluding execu execut execute exempt exists exit exp expire explain export export_set extended extent external external_1 external_2 externally extract failed failed_login_attempts failover failure far fast feature_set feature_value fetch field fields file file_name_convert filesystem_like_logging final finish first first_value fixed flash_cache flashback floor flush following follows for forall force form forma format found found_rows freelist freelists freepools fresh from from_base64 from_days ftp full function general generated get get_format get_lock getdate getutcdate global global_name globally go goto grant grants greatest group group_concat group_id grouping grouping_id groups gtid_subtract guarantee guard handler hash hashkeys having hea head headi headin heading heap help hex hierarchy high high_priority hosts hour http id ident_current ident_incr ident_seed identified identity idle_time if ifnull ignore iif ilike ilm immediate import in include including increment index indexes indexing indextype indicator indices inet6_aton inet6_ntoa inet_aton inet_ntoa infile initial initialized initially initrans inmemory inner innodb input insert install instance instantiable instr interface interleaved intersect into invalidate invisible is is_free_lock is_ipv4 is_ipv4_compat is_not is_not_null is_used_lock isdate isnull isolation iterate java join json json_exists keep keep_duplicates key keys kill language large last last_day last_insert_id last_value lax lcase lead leading least leaves left len lenght length less level levels library like like2 like4 likec limit lines link list listagg little ln load load_file lob lobs local localtime localtimestamp locate locator lock locked log log10 log2 logfile logfiles logging logical logical_reads_per_call logoff logon logs long loop low low_priority lower lpad lrtrim ltrim main make_set makedate maketime managed management manual map mapping mask master master_pos_wait match matched materialized max maxextents maximize maxinstances maxlen maxlogfiles maxloghistory maxlogmembers maxsize maxtrans md5 measures median medium member memcompress memory merge microsecond mid migration min minextents minimum mining minus minute minvalue missing mod mode model modification modify module monitoring month months mount move movement multiset mutex name name_const names nan national native natural nav nchar nclob nested never new newline next nextval no no_write_to_binlog noarchivelog noaudit nobadfile nocheck nocompress nocopy nocycle nodelay nodiscardfile noentityescaping noguarantee nokeep nologfile nomapping nomaxvalue nominimize nominvalue nomonitoring none noneditionable nonschema noorder nopr nopro noprom nopromp noprompt norely noresetlogs noreverse normal norowdependencies noschemacheck noswitch not nothing notice notrim novalidate now nowait nth_value nullif nulls num numb numbe nvarchar nvarchar2 object ocicoll ocidate ocidatetime ociduration ociinterval ociloblocator ocinumber ociref ocirefcursor ocirowid ocistring ocitype oct octet_length of off offline offset oid oidindex old on online only opaque open operations operator optimal optimize option optionally or oracle oracle_date oradata ord ordaudio orddicom orddoc order ordimage ordinality ordvideo organization orlany orlvary out outer outfile outline output over overflow overriding package pad parallel parallel_enable parameters parent parse partial partition partitions pascal passing password password_grace_time password_lock_time password_reuse_max password_reuse_time password_verify_function patch path patindex pctincrease pctthreshold pctused pctversion percent percent_rank percentile_cont percentile_disc performance period period_add period_diff permanent physical pi pipe pipelined pivot pluggable plugin policy position post_transaction pow power pragma prebuilt precedes preceding precision prediction prediction_cost prediction_details prediction_probability prediction_set prepare present preserve prior priority private private_sga privileges procedural procedure procedure_analyze processlist profiles project prompt protection public publishingservername purge quarter query quick quiesce quota quotename radians raise rand range rank raw read reads readsize rebuild record records recover recovery recursive recycle redo reduced ref reference referenced references referencing refresh regexp_like register regr_avgx regr_avgy regr_count regr_intercept regr_r2 regr_slope regr_sxx regr_sxy reject rekey relational relative relaylog release release_lock relies_on relocate rely rem remainder rename repair repeat replace replicate replication required reset resetlogs resize resource respect restore restricted result result_cache resumable resume retention return returning returns reuse reverse revoke right rlike role roles rollback rolling rollup round row row_count rowdependencies rowid rownum rows rtrim rules safe salt sample save savepoint sb1 sb2 sb4 scan schema schemacheck scn scope scroll sdo_georaster sdo_topo_geometry search sec_to_time second section securefile security seed segment select self sequence sequential serializable server servererror session session_user sessions_per_user set sets settings sha sha1 sha2 share shared shared_pool short show shrink shutdown si_averagecolor si_colorhistogram si_featurelist si_positionalcolor si_stillimage si_texture siblings sid sign sin size size_t sizes skip slave sleep smalldatetimefromparts smallfile snapshot some soname sort soundex source space sparse spfile split sql sql_big_result sql_buffer_result sql_cache sql_calc_found_rows sql_small_result sql_variant_property sqlcode sqldata sqlerror sqlname sqlstate sqrt square standalone standby start starting startup statement static statistics stats_binomial_test stats_crosstab stats_ks_test stats_mode stats_mw_test stats_one_way_anova stats_t_test_ stats_t_test_indep stats_t_test_one stats_t_test_paired stats_wsr_test status std stddev stddev_pop stddev_samp stdev stop storage store stored str str_to_date straight_join strcmp strict string struct stuff style subdate subpartition subpartitions substitutable substr substring subtime subtring_index subtype success sum suspend switch switchoffset switchover sync synchronous synonym sys sys_xmlagg sysasm sysaux sysdate sysdatetimeoffset sysdba sysoper system system_user sysutcdatetime table tables tablespace tan tdo template temporary terminated tertiary_weights test than then thread through tier ties time time_format time_zone timediff timefromparts timeout timestamp timestampadd timestampdiff timezone_abbr timezone_minute timezone_region to to_base64 to_date to_days to_seconds todatetimeoffset trace tracking transaction transactional translate translation treat trigger trigger_nestlevel triggers trim truncate try_cast try_convert try_parse type ub1 ub2 ub4 ucase unarchived unbounded uncompress under undo unhex unicode uniform uninstall union unique unix_timestamp unknown unlimited unlock unpivot unrecoverable unsafe unsigned until untrusted unusable unused update updated upgrade upped upper upsert url urowid usable usage use use_stored_outlines user user_data user_resources users using utc_date utc_timestamp uuid uuid_short validate validate_password_strength validation valist value values var var_samp varcharc vari varia variab variabl variable variables variance varp varraw varrawc varray verify version versions view virtual visible void wait wallet warning warnings week weekday weekofyear wellformed when whene whenev wheneve whenever where while whitespace with within without work wrapped xdb xml xmlagg xmlattributes xmlcast xmlcolattval xmlelement xmlexists xmlforest xmlindex xmlnamespaces xmlpi xmlquery xmlroot xmlschema xmlserialize xmltable xmltype xor year year_to_month years yearweek",literal:"true false null",built_in:"array bigint binary bit blob boolean char character date dec decimal float int int8 integer interval number numeric real record serial serial8 smallint text varchar varying void"},c:[{cN:"string",b:"'",e:"'",c:[e.BE,{b:"''"}]},{cN:"string",b:'"',e:'"',c:[e.BE,{b:'""'}]},{cN:"string",b:"`",e:"`",c:[e.BE]},e.CNM,e.CBCM,t]},e.CBCM,t]}});hljs.registerLanguage("r",function(e){var r="([a-zA-Z]|\\.[a-zA-Z.])[a-zA-Z0-9._]*";return{c:[e.HCM,{b:r,l:r,k:{keyword:"function if in break next repeat else for return switch while try tryCatch stop warning require library attach detach source setMethod setGeneric setGroupGeneric setClass ...",literal:"NULL NA TRUE FALSE T F Inf NaN NA_integer_|10 NA_real_|10 NA_character_|10 NA_complex_|10"},r:0},{cN:"number",b:"0[xX][0-9a-fA-F]+[Li]?\\b",r:0},{cN:"number",b:"\\d+(?:[eE][+\\-]?\\d*)?L\\b",r:0},{cN:"number",b:"\\d+\\.(?!\\d)(?:i\\b)?",r:0},{cN:"number",b:"\\d+(?:\\.\\d*)?(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{cN:"number",b:"\\.\\d+(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{b:"`",e:"`",r:0},{cN:"string",c:[e.BE],v:[{b:'"',e:'"'},{b:"'",e:"'"}]}]}});hljs.registerLanguage("perl",function(e){var t="getpwent getservent quotemeta msgrcv scalar kill dbmclose undef lc ma syswrite tr send umask sysopen shmwrite vec qx utime local oct semctl localtime readpipe do return format read sprintf dbmopen pop getpgrp not getpwnam rewinddir qqfileno qw endprotoent wait sethostent bless s|0 opendir continue each sleep endgrent shutdown dump chomp connect getsockname die socketpair close flock exists index shmgetsub for endpwent redo lstat msgctl setpgrp abs exit select print ref gethostbyaddr unshift fcntl syscall goto getnetbyaddr join gmtime symlink semget splice x|0 getpeername recv log setsockopt cos last reverse gethostbyname getgrnam study formline endhostent times chop length gethostent getnetent pack getprotoent getservbyname rand mkdir pos chmod y|0 substr endnetent printf next open msgsnd readdir use unlink getsockopt getpriority rindex wantarray hex system getservbyport endservent int chr untie rmdir prototype tell listen fork shmread ucfirst setprotoent else sysseek link getgrgid shmctl waitpid unpack getnetbyname reset chdir grep split require caller lcfirst until warn while values shift telldir getpwuid my getprotobynumber delete and sort uc defined srand accept package seekdir getprotobyname semop our rename seek if q|0 chroot sysread setpwent no crypt getc chown sqrt write setnetent setpriority foreach tie sin msgget map stat getlogin unless elsif truncate exec keys glob tied closedirioctl socket readlink eval xor readline binmode setservent eof ord bind alarm pipe atan2 getgrent exp time push setgrent gt lt or ne m|0 break given say state when",r={cN:"subst",b:"[$@]\\{",e:"\\}",k:t},s={b:"->{",e:"}"},n={v:[{b:/\$\d/},{b:/[\$%@](\^\w\b|#\w+(::\w+)*|{\w+}|\w+(::\w*)*)/},{b:/[\$%@][^\s\w{]/,r:0}]},i=[e.BE,r,n],o=[n,e.HCM,e.C("^\\=\\w","\\=cut",{eW:!0}),s,{cN:"string",c:i,v:[{b:"q[qwxr]?\\s*\\(",e:"\\)",r:5},{b:"q[qwxr]?\\s*\\[",e:"\\]",r:5},{b:"q[qwxr]?\\s*\\{",e:"\\}",r:5},{b:"q[qwxr]?\\s*\\|",e:"\\|",r:5},{b:"q[qwxr]?\\s*\\<",e:"\\>",r:5},{b:"qw\\s+q",e:"q",r:5},{b:"'",e:"'",c:[e.BE]},{b:'"',e:'"'},{b:"`",e:"`",c:[e.BE]},{b:"{\\w+}",c:[],r:0},{b:"-?\\w+\\s*\\=\\>",c:[],r:0}]},{cN:"number",b:"(\\b0[0-7_]+)|(\\b0x[0-9a-fA-F_]+)|(\\b[1-9][0-9_]*(\\.[0-9_]+)?)|[0_]\\b",r:0},{b:"(\\/\\/|"+e.RSR+"|\\b(split|return|print|reverse|grep)\\b)\\s*",k:"split return print reverse grep",r:0,c:[e.HCM,{cN:"regexp",b:"(s|tr|y)/(\\\\.|[^/])*/(\\\\.|[^/])*/[a-z]*",r:10},{cN:"regexp",b:"(m|qr)?/",e:"/[a-z]*",c:[e.BE],r:0}]},{cN:"function",bK:"sub",e:"(\\s*\\(.*?\\))?[;{]",eE:!0,r:5,c:[e.TM]},{b:"-\\w\\b",r:0},{b:"^__DATA__$",e:"^__END__$",sL:"mojolicious",c:[{b:"^@@.*",e:"$",cN:"comment"}]}];return r.c=o,s.c=o,{aliases:["pl","pm"],l:/[\w\.]+/,k:t,c:o}});hljs.registerLanguage("ini",function(e){var b={cN:"string",c:[e.BE],v:[{b:"'''",e:"'''",r:10},{b:'"""',e:'"""',r:10},{b:'"',e:'"'},{b:"'",e:"'"}]};return{aliases:["toml"],cI:!0,i:/\S/,c:[e.C(";","$"),e.HCM,{cN:"section",b:/^\s*\[+/,e:/\]+/},{b:/^[a-z0-9\[\]_-]+\s*=\s*/,e:"$",rB:!0,c:[{cN:"attr",b:/[a-z0-9\[\]_-]+/},{b:/=/,eW:!0,r:0,c:[{cN:"literal",b:/\bon|off|true|false|yes|no\b/},{cN:"variable",v:[{b:/\$[\w\d"][\w\d_]*/},{b:/\$\{(.*?)}/}]},b,{cN:"number",b:/([\+\-]+)?[\d]+_[\d_]+/},e.NM]}]}]}});hljs.registerLanguage("diff",function(e){return{aliases:["patch"],c:[{cN:"meta",r:10,v:[{b:/^@@ +\-\d+,\d+ +\+\d+,\d+ +@@$/},{b:/^\*\*\* +\d+,\d+ +\*\*\*\*$/},{b:/^\-\-\- +\d+,\d+ +\-\-\-\-$/}]},{cN:"comment",v:[{b:/Index: /,e:/$/},{b:/={3,}/,e:/$/},{b:/^\-{3}/,e:/$/},{b:/^\*{3} /,e:/$/},{b:/^\+{3}/,e:/$/},{b:/\*{5}/,e:/\*{5}$/}]},{cN:"addition",b:"^\\+",e:"$"},{cN:"deletion",b:"^\\-",e:"$"},{cN:"addition",b:"^\\!",e:"$"}]}});hljs.registerLanguage("go",function(e){var t={keyword:"break default func interface select case map struct chan else goto package switch const fallthrough if range type continue for import return var go defer bool byte complex64 complex128 float32 float64 int8 int16 int32 int64 string uint8 uint16 uint32 uint64 int uint uintptr rune",literal:"true false iota nil",built_in:"append cap close complex copy imag len make new panic print println real recover delete"};return{aliases:["golang"],k:t,i:"</",c:[e.CLCM,e.CBCM,{cN:"string",v:[e.QSM,{b:"'",e:"[^\\\\]'"},{b:"`",e:"`"}]},{cN:"number",v:[{b:e.CNR+"[dflsi]",r:1},e.CNM]},{b:/:=/},{cN:"function",bK:"func",e:/\s*\{/,eE:!0,c:[e.TM,{cN:"params",b:/\(/,e:/\)/,k:t,i:/["']/}]}]}});hljs.registerLanguage("bash",function(e){var t={cN:"variable",v:[{b:/\$[\w\d#@][\w\d_]*/},{b:/\$\{(.*?)}/}]},s={cN:"string",b:/"/,e:/"/,c:[e.BE,t,{cN:"variable",b:/\$\(/,e:/\)/,c:[e.BE]}]},a={cN:"string",b:/'/,e:/'/};return{aliases:["sh","zsh"],l:/\b-?[a-z\._]+\b/,k:{keyword:"if then else elif fi for while in do done case esac function",literal:"true false",built_in:"break cd continue eval exec exit export getopts hash pwd readonly return shift test times trap umask unset alias bind builtin caller command declare echo enable help let local logout mapfile printf read readarray source type typeset ulimit unalias set shopt autoload bg bindkey bye cap chdir clone comparguments compcall compctl compdescribe compfiles compgroups compquote comptags comptry compvalues dirs disable disown echotc echoti emulate fc fg float functions getcap getln history integer jobs kill limit log noglob popd print pushd pushln rehash sched setcap setopt stat suspend ttyctl unfunction unhash unlimit unsetopt vared wait whence where which zcompile zformat zftp zle zmodload zparseopts zprof zpty zregexparse zsocket zstyle ztcp",_:"-ne -eq -lt -gt -f -d -e -s -l -a"},c:[{cN:"meta",b:/^#![^\n]+sh\s*$/,r:10},{cN:"function",b:/\w[\w\d_]*\s*\(\s*\)\s*\{/,rB:!0,c:[e.inherit(e.TM,{b:/\w[\w\d_]*/})],r:0},e.HCM,s,a,t]}});hljs.registerLanguage("python",function(e){var r={keyword:"and elif is global as in if from raise for except finally print import pass return exec else break not with class assert yield try while continue del or def lambda async await nonlocal|10 None True False",built_in:"Ellipsis NotImplemented"},b={cN:"meta",b:/^(>>>|\.\.\.) /},c={cN:"subst",b:/\{/,e:/\}/,k:r,i:/#/},a={cN:"string",c:[e.BE],v:[{b:/(u|b)?r?'''/,e:/'''/,c:[b],r:10},{b:/(u|b)?r?"""/,e:/"""/,c:[b],r:10},{b:/(fr|rf|f)'''/,e:/'''/,c:[b,c]},{b:/(fr|rf|f)"""/,e:/"""/,c:[b,c]},{b:/(u|r|ur)'/,e:/'/,r:10},{b:/(u|r|ur)"/,e:/"/,r:10},{b:/(b|br)'/,e:/'/},{b:/(b|br)"/,e:/"/},{b:/(fr|rf|f)'/,e:/'/,c:[c]},{b:/(fr|rf|f)"/,e:/"/,c:[c]},e.ASM,e.QSM]},s={cN:"number",r:0,v:[{b:e.BNR+"[lLjJ]?"},{b:"\\b(0o[0-7]+)[lLjJ]?"},{b:e.CNR+"[lLjJ]?"}]},i={cN:"params",b:/\(/,e:/\)/,c:["self",b,s,a]};return c.c=[a,s,b],{aliases:["py","gyp"],k:r,i:/(<\/|->|\?)|=>/,c:[b,s,a,e.HCM,{v:[{cN:"function",bK:"def"},{cN:"class",bK:"class"}],e:/:/,i:/[${=;\n,]/,c:[e.UTM,i,{b:/->/,eW:!0,k:"None"}]},{cN:"meta",b:/^[\t ]*@/,e:/$/},{b:/\b(print|exec)\(/}]}});hljs.registerLanguage("julia",function(e){var r={keyword:"in isa where baremodule begin break catch ccall const continue do else elseif end export false finally for function global if import importall let local macro module quote return true try using while type immutable abstract bitstype typealias ",literal:"true false ARGS C_NULL DevNull ENDIAN_BOM ENV I Inf Inf16 Inf32 Inf64 InsertionSort JULIA_HOME LOAD_PATH MergeSort NaN NaN16 NaN32 NaN64 PROGRAM_FILE QuickSort RoundDown RoundFromZero RoundNearest RoundNearestTiesAway RoundNearestTiesUp RoundToZero RoundUp STDERR STDIN STDOUT VERSION catalan e|0 eu|0 eulergamma golden im nothing pi γ π φ ",built_in:"ANY AbstractArray AbstractChannel AbstractFloat AbstractMatrix AbstractRNG AbstractSerializer AbstractSet AbstractSparseArray AbstractSparseMatrix AbstractSparseVector AbstractString AbstractUnitRange AbstractVecOrMat AbstractVector Any ArgumentError Array AssertionError Associative Base64DecodePipe Base64EncodePipe Bidiagonal BigFloat BigInt BitArray BitMatrix BitVector Bool BoundsError BufferStream CachingPool CapturedException CartesianIndex CartesianRange Cchar Cdouble Cfloat Channel Char Cint Cintmax_t Clong Clonglong ClusterManager Cmd CodeInfo Colon Complex Complex128 Complex32 Complex64 CompositeException Condition ConjArray ConjMatrix ConjVector Cptrdiff_t Cshort Csize_t Cssize_t Cstring Cuchar Cuint Cuintmax_t Culong Culonglong Cushort Cwchar_t Cwstring DataType Date DateFormat DateTime DenseArray DenseMatrix DenseVecOrMat DenseVector Diagonal Dict DimensionMismatch Dims DirectIndexString Display DivideError DomainError EOFError EachLine Enum Enumerate ErrorException Exception ExponentialBackOff Expr Factorization FileMonitor Float16 Float32 Float64 Function Future GlobalRef GotoNode HTML Hermitian IO IOBuffer IOContext IOStream IPAddr IPv4 IPv6 IndexCartesian IndexLinear IndexStyle InexactError InitError Int Int128 Int16 Int32 Int64 Int8 IntSet Integer InterruptException InvalidStateException Irrational KeyError LabelNode LinSpace LineNumberNode LoadError LowerTriangular MIME Matrix MersenneTwister Method MethodError MethodTable Module NTuple NewvarNode NullException Nullable Number ObjectIdDict OrdinalRange OutOfMemoryError OverflowError Pair ParseError PartialQuickSort PermutedDimsArray Pipe PollingFileWatcher ProcessExitedException Ptr QuoteNode RandomDevice Range RangeIndex Rational RawFD ReadOnlyMemoryError Real ReentrantLock Ref Regex RegexMatch RemoteChannel RemoteException RevString RoundingMode RowVector SSAValue SegmentationFault SerializationState Set SharedArray SharedMatrix SharedVector Signed SimpleVector Slot SlotNumber SparseMatrixCSC SparseVector StackFrame StackOverflowError StackTrace StepRange StepRangeLen StridedArray StridedMatrix StridedVecOrMat StridedVector String SubArray SubString SymTridiagonal Symbol Symmetric SystemError TCPSocket Task Text TextDisplay Timer Tridiagonal Tuple Type TypeError TypeMapEntry TypeMapLevel TypeName TypeVar TypedSlot UDPSocket UInt UInt128 UInt16 UInt32 UInt64 UInt8 UndefRefError UndefVarError UnicodeError UniformScaling Union UnionAll UnitRange Unsigned UpperTriangular Val Vararg VecElement VecOrMat Vector VersionNumber Void WeakKeyDict WeakRef WorkerConfig WorkerPool "},t="[A-Za-z_\\u00A1-\\uFFFF][A-Za-z_0-9\\u00A1-\\uFFFF]*",a={l:t,k:r,i:/<\//},n={cN:"number",b:/(\b0x[\d_]*(\.[\d_]*)?|0x\.\d[\d_]*)p[-+]?\d+|\b0[box][a-fA-F0-9][a-fA-F0-9_]*|(\b\d[\d_]*(\.[\d_]*)?|\.\d[\d_]*)([eEfF][-+]?\d+)?/,r:0},o={cN:"string",b:/'(.|\\[xXuU][a-zA-Z0-9]+)'/},i={cN:"subst",b:/\$\(/,e:/\)/,k:r},l={cN:"variable",b:"\\$"+t},c={cN:"string",c:[e.BE,i,l],v:[{b:/\w*"""/,e:/"""\w*/,r:10},{b:/\w*"/,e:/"\w*/}]},s={cN:"string",c:[e.BE,i,l],b:"`",e:"`"},d={cN:"meta",b:"@"+t},u={cN:"comment",v:[{b:"#=",e:"=#",r:10},{b:"#",e:"$"}]};return a.c=[n,o,c,s,d,u,e.HCM,{cN:"keyword",b:"\\b(((abstract|primitive)\\s+)type|(mutable\\s+)?struct)\\b"},{b:/<:/}],i.c=a.c,a});hljs.registerLanguage("coffeescript",function(e){var c={keyword:"in if for while finally new do return else break catch instanceof throw try this switch continue typeof delete debugger super yield import export from as default await then unless until loop of by when and or is isnt not",literal:"true false null undefined yes no on off",built_in:"npm require console print module global window document"},n="[A-Za-z$_][0-9A-Za-z$_]*",r={cN:"subst",b:/#\{/,e:/}/,k:c},i=[e.BNM,e.inherit(e.CNM,{starts:{e:"(\\s*/)?",r:0}}),{cN:"string",v:[{b:/'''/,e:/'''/,c:[e.BE]},{b:/'/,e:/'/,c:[e.BE]},{b:/"""/,e:/"""/,c:[e.BE,r]},{b:/"/,e:/"/,c:[e.BE,r]}]},{cN:"regexp",v:[{b:"///",e:"///",c:[r,e.HCM]},{b:"//[gim]*",r:0},{b:/\/(?![ *])(\\\/|.)*?\/[gim]*(?=\W|$)/}]},{b:"@"+n},{sL:"javascript",eB:!0,eE:!0,v:[{b:"```",e:"```"},{b:"`",e:"`"}]}];r.c=i;var s=e.inherit(e.TM,{b:n}),t="(\\(.*\\))?\\s*\\B[-=]>",o={cN:"params",b:"\\([^\\(]",rB:!0,c:[{b:/\(/,e:/\)/,k:c,c:["self"].concat(i)}]};return{aliases:["coffee","cson","iced"],k:c,i:/\/\*/,c:i.concat([e.C("###","###"),e.HCM,{cN:"function",b:"^\\s*"+n+"\\s*=\\s*"+t,e:"[-=]>",rB:!0,c:[s,o]},{b:/[:\(,=]\s*/,r:0,c:[{cN:"function",b:t,e:"[-=]>",rB:!0,c:[o]}]},{cN:"class",bK:"class",e:"$",i:/[:="\[\]]/,c:[{bK:"extends",eW:!0,i:/[:="\[\]]/,c:[s]},s]},{b:n+":",e:":",rB:!0,rE:!0,r:0}])}});hljs.registerLanguage("cpp",function(t){var e={cN:"keyword",b:"\\b[a-z\\d_]*_t\\b"},r={cN:"string",v:[{b:'(u8?|U)?L?"',e:'"',i:"\\n",c:[t.BE]},{b:'(u8?|U)?R"',e:'"',c:[t.BE]},{b:"'\\\\?.",e:"'",i:"."}]},s={cN:"number",v:[{b:"\\b(0b[01']+)"},{b:"(-?)\\b([\\d']+(\\.[\\d']*)?|\\.[\\d']+)(u|U|l|L|ul|UL|f|F|b|B)"},{b:"(-?)(\\b0[xX][a-fA-F0-9']+|(\\b[\\d']+(\\.[\\d']*)?|\\.[\\d']+)([eE][-+]?[\\d']+)?)"}],r:0},i={cN:"meta",b:/#\s*[a-z]+\b/,e:/$/,k:{"meta-keyword":"if else elif endif define undef warning error line pragma ifdef ifndef include"},c:[{b:/\\\n/,r:0},t.inherit(r,{cN:"meta-string"}),{cN:"meta-string",b:/<[^\n>]*>/,e:/$/,i:"\\n"},t.CLCM,t.CBCM]},a=t.IR+"\\s*\\(",c={keyword:"int float while private char catch import module export virtual operator sizeof dynamic_cast|10 typedef const_cast|10 const for static_cast|10 union namespace unsigned long volatile static protected bool template mutable if public friend do goto auto void enum else break extern using asm case typeid short reinterpret_cast|10 default double register explicit signed typename try this switch continue inline delete alignof constexpr decltype noexcept static_assert thread_local restrict _Bool complex _Complex _Imaginary atomic_bool atomic_char atomic_schar atomic_uchar atomic_short atomic_ushort atomic_int atomic_uint atomic_long atomic_ulong atomic_llong atomic_ullong new throw return and or not",built_in:"std string cin cout cerr clog stdin stdout stderr stringstream istringstream ostringstream auto_ptr deque list queue stack vector map set bitset multiset multimap unordered_set unordered_map unordered_multiset unordered_multimap array shared_ptr abort abs acos asin atan2 atan calloc ceil cosh cos exit exp fabs floor fmod fprintf fputs free frexp fscanf isalnum isalpha iscntrl isdigit isgraph islower isprint ispunct isspace isupper isxdigit tolower toupper labs ldexp log10 log malloc realloc memchr memcmp memcpy memset modf pow printf putchar puts scanf sinh sin snprintf sprintf sqrt sscanf strcat strchr strcmp strcpy strcspn strlen strncat strncmp strncpy strpbrk strrchr strspn strstr tanh tan vfprintf vprintf vsprintf endl initializer_list unique_ptr",literal:"true false nullptr NULL"},n=[e,t.CLCM,t.CBCM,s,r];return{aliases:["c","cc","h","c++","h++","hpp"],k:c,i:"</",c:n.concat([i,{b:"\\b(deque|list|queue|stack|vector|map|set|bitset|multiset|multimap|unordered_map|unordered_set|unordered_multiset|unordered_multimap|array)\\s*<",e:">",k:c,c:["self",e]},{b:t.IR+"::",k:c},{v:[{b:/=/,e:/;/},{b:/\(/,e:/\)/},{bK:"new throw return else",e:/;/}],k:c,c:n.concat([{b:/\(/,e:/\)/,k:c,c:n.concat(["self"]),r:0}]),r:0},{cN:"function",b:"("+t.IR+"[\\*&\\s]+)+"+a,rB:!0,e:/[{;=]/,eE:!0,k:c,i:/[^\w\s\*&]/,c:[{b:a,rB:!0,c:[t.TM],r:0},{cN:"params",b:/\(/,e:/\)/,k:c,r:0,c:[t.CLCM,t.CBCM,r,s,e]},t.CLCM,t.CBCM,i]},{cN:"class",bK:"class struct",e:/[{;:]/,c:[{b:/</,e:/>/,c:["self"]},t.TM]}]),exports:{preprocessor:i,strings:r,k:c}}});hljs.registerLanguage("ruby",function(e){var b="[a-zA-Z_]\\w*[!?=]?|[-+~]\\@|<<|>>|=~|===?|<=>|[<>]=?|\\*\\*|[-/+%^&*~`|]|\\[\\]=?",r={keyword:"and then defined module in return redo if BEGIN retry end for self when next until do begin unless END rescue else break undef not super class case require yield alias while ensure elsif or include attr_reader attr_writer attr_accessor",literal:"true false nil"},c={cN:"doctag",b:"@[A-Za-z]+"},a={b:"#<",e:">"},s=[e.C("#","$",{c:[c]}),e.C("^\\=begin","^\\=end",{c:[c],r:10}),e.C("^__END__","\\n$")],n={cN:"subst",b:"#\\{",e:"}",k:r},t={cN:"string",c:[e.BE,n],v:[{b:/'/,e:/'/},{b:/"/,e:/"/},{b:/`/,e:/`/},{b:"%[qQwWx]?\\(",e:"\\)"},{b:"%[qQwWx]?\\[",e:"\\]"},{b:"%[qQwWx]?{",e:"}"},{b:"%[qQwWx]?<",e:">"},{b:"%[qQwWx]?/",e:"/"},{b:"%[qQwWx]?%",e:"%"},{b:"%[qQwWx]?-",e:"-"},{b:"%[qQwWx]?\\|",e:"\\|"},{b:/\B\?(\\\d{1,3}|\\x[A-Fa-f0-9]{1,2}|\\u[A-Fa-f0-9]{4}|\\?\S)\b/},{b:/<<(-?)\w+$/,e:/^\s*\w+$/}]},i={cN:"params",b:"\\(",e:"\\)",endsParent:!0,k:r},d=[t,a,{cN:"class",bK:"class module",e:"$|;",i:/=/,c:[e.inherit(e.TM,{b:"[A-Za-z_]\\w*(::\\w+)*(\\?|\\!)?"}),{b:"<\\s*",c:[{b:"("+e.IR+"::)?"+e.IR}]}].concat(s)},{cN:"function",bK:"def",e:"$|;",c:[e.inherit(e.TM,{b:b}),i].concat(s)},{b:e.IR+"::"},{cN:"symbol",b:e.UIR+"(\\!|\\?)?:",r:0},{cN:"symbol",b:":(?!\\s)",c:[t,{b:b}],r:0},{cN:"number",b:"(\\b0[0-7_]+)|(\\b0x[0-9a-fA-F_]+)|(\\b[1-9][0-9_]*(\\.[0-9_]+)?)|[0_]\\b",r:0},{b:"(\\$\\W)|((\\$|\\@\\@?)(\\w+))"},{cN:"params",b:/\|/,e:/\|/,k:r},{b:"("+e.RSR+"|unless)\\s*",k:"unless",c:[a,{cN:"regexp",c:[e.BE,n],i:/\n/,v:[{b:"/",e:"/[a-z]*"},{b:"%r{",e:"}[a-z]*"},{b:"%r\\(",e:"\\)[a-z]*"},{b:"%r!",e:"![a-z]*"},{b:"%r\\[",e:"\\][a-z]*"}]}].concat(s),r:0}].concat(s);n.c=d,i.c=d;var l="[>?]>",o="[\\w#]+\\(\\w+\\):\\d+:\\d+>",u="(\\w+-)?\\d+\\.\\d+\\.\\d(p\\d+)?[^>]+>",w=[{b:/^\s*=>/,starts:{e:"$",c:d}},{cN:"meta",b:"^("+l+"|"+o+"|"+u+")",starts:{e:"$",c:d}}];return{aliases:["rb","gemspec","podspec","thor","irb"],k:r,i:/\/\*/,c:s.concat(w).concat(d)}});hljs.registerLanguage("yaml",function(e){var b="true false yes no null",a="^[ \\-]*",r="[a-zA-Z_][\\w\\-]*",t={cN:"attr",v:[{b:a+r+":"},{b:a+'"'+r+'":'},{b:a+"'"+r+"':"}]},c={cN:"template-variable",v:[{b:"{{",e:"}}"},{b:"%{",e:"}"}]},l={cN:"string",r:0,v:[{b:/'/,e:/'/},{b:/"/,e:/"/},{b:/\S+/}],c:[e.BE,c]};return{cI:!0,aliases:["yml","YAML","yaml"],c:[t,{cN:"meta",b:"^---s*$",r:10},{cN:"string",b:"[\\|>] *$",rE:!0,c:l.c,e:t.v[0].b},{b:"<%[%=-]?",e:"[%-]?%>",sL:"ruby",eB:!0,eE:!0,r:0},{cN:"type",b:"!!"+e.UIR},{cN:"meta",b:"&"+e.UIR+"$"},{cN:"meta",b:"\\*"+e.UIR+"$"},{cN:"bullet",b:"^ *-",r:0},e.HCM,{bK:b,k:{literal:b}},e.CNM,l]}});hljs.registerLanguage("css",function(e){var c="[a-zA-Z-][a-zA-Z0-9_-]*",t={b:/[A-Z\_\.\-]+\s*:/,rB:!0,e:";",eW:!0,c:[{cN:"attribute",b:/\S/,e:":",eE:!0,starts:{eW:!0,eE:!0,c:[{b:/[\w-]+\(/,rB:!0,c:[{cN:"built_in",b:/[\w-]+/},{b:/\(/,e:/\)/,c:[e.ASM,e.QSM]}]},e.CSSNM,e.QSM,e.ASM,e.CBCM,{cN:"number",b:"#[0-9A-Fa-f]+"},{cN:"meta",b:"!important"}]}}]};return{cI:!0,i:/[=\/|'\$]/,c:[e.CBCM,{cN:"selector-id",b:/#[A-Za-z0-9_-]+/},{cN:"selector-class",b:/\.[A-Za-z0-9_-]+/},{cN:"selector-attr",b:/\[/,e:/\]/,i:"$"},{cN:"selector-pseudo",b:/:(:)?[a-zA-Z0-9\_\-\+\(\)"'.]+/},{b:"@(font-face|page)",l:"[a-z-]+",k:"font-face page"},{b:"@",e:"[{;]",i:/:/,c:[{cN:"keyword",b:/\w+/},{b:/\s/,eW:!0,eE:!0,r:0,c:[e.ASM,e.QSM,e.CSSNM]}]},{cN:"selector-tag",b:c,r:0},{b:"{",e:"}",i:/\S/,c:[e.CBCM,t]}]}});hljs.registerLanguage("fortran",function(e){var t={cN:"params",b:"\\(",e:"\\)"},n={literal:".False. .True.",keyword:"kind do while private call intrinsic where elsewhere type endtype endmodule endselect endinterface end enddo endif if forall endforall only contains default return stop then public subroutine|10 function program .and. .or. .not. .le. .eq. .ge. .gt. .lt. goto save else use module select case access blank direct exist file fmt form formatted iostat name named nextrec number opened rec recl sequential status unformatted unit continue format pause cycle exit c_null_char c_alert c_backspace c_form_feed flush wait decimal round iomsg synchronous nopass non_overridable pass protected volatile abstract extends import non_intrinsic value deferred generic final enumerator class associate bind enum c_int c_short c_long c_long_long c_signed_char c_size_t c_int8_t c_int16_t c_int32_t c_int64_t c_int_least8_t c_int_least16_t c_int_least32_t c_int_least64_t c_int_fast8_t c_int_fast16_t c_int_fast32_t c_int_fast64_t c_intmax_t C_intptr_t c_float c_double c_long_double c_float_complex c_double_complex c_long_double_complex c_bool c_char c_null_ptr c_null_funptr c_new_line c_carriage_return c_horizontal_tab c_vertical_tab iso_c_binding c_loc c_funloc c_associated  c_f_pointer c_ptr c_funptr iso_fortran_env character_storage_size error_unit file_storage_size input_unit iostat_end iostat_eor numeric_storage_size output_unit c_f_procpointer ieee_arithmetic ieee_support_underflow_control ieee_get_underflow_mode ieee_set_underflow_mode newunit contiguous recursive pad position action delim readwrite eor advance nml interface procedure namelist include sequence elemental pure integer real character complex logical dimension allocatable|10 parameter external implicit|10 none double precision assign intent optional pointer target in out common equivalence data",built_in:"alog alog10 amax0 amax1 amin0 amin1 amod cabs ccos cexp clog csin csqrt dabs dacos dasin datan datan2 dcos dcosh ddim dexp dint dlog dlog10 dmax1 dmin1 dmod dnint dsign dsin dsinh dsqrt dtan dtanh float iabs idim idint idnint ifix isign max0 max1 min0 min1 sngl algama cdabs cdcos cdexp cdlog cdsin cdsqrt cqabs cqcos cqexp cqlog cqsin cqsqrt dcmplx dconjg derf derfc dfloat dgamma dimag dlgama iqint qabs qacos qasin qatan qatan2 qcmplx qconjg qcos qcosh qdim qerf qerfc qexp qgamma qimag qlgama qlog qlog10 qmax1 qmin1 qmod qnint qsign qsin qsinh qsqrt qtan qtanh abs acos aimag aint anint asin atan atan2 char cmplx conjg cos cosh exp ichar index int log log10 max min nint sign sin sinh sqrt tan tanh print write dim lge lgt lle llt mod nullify allocate deallocate adjustl adjustr all allocated any associated bit_size btest ceiling count cshift date_and_time digits dot_product eoshift epsilon exponent floor fraction huge iand ibclr ibits ibset ieor ior ishft ishftc lbound len_trim matmul maxexponent maxloc maxval merge minexponent minloc minval modulo mvbits nearest pack present product radix random_number random_seed range repeat reshape rrspacing scale scan selected_int_kind selected_real_kind set_exponent shape size spacing spread sum system_clock tiny transpose trim ubound unpack verify achar iachar transfer dble entry dprod cpu_time command_argument_count get_command get_command_argument get_environment_variable is_iostat_end ieee_arithmetic ieee_support_underflow_control ieee_get_underflow_mode ieee_set_underflow_mode is_iostat_eor move_alloc new_line selected_char_kind same_type_as extends_type_ofacosh asinh atanh bessel_j0 bessel_j1 bessel_jn bessel_y0 bessel_y1 bessel_yn erf erfc erfc_scaled gamma log_gamma hypot norm2 atomic_define atomic_ref execute_command_line leadz trailz storage_size merge_bits bge bgt ble blt dshiftl dshiftr findloc iall iany iparity image_index lcobound ucobound maskl maskr num_images parity popcnt poppar shifta shiftl shiftr this_image"};return{cI:!0,aliases:["f90","f95"],k:n,i:/\/\*/,c:[e.inherit(e.ASM,{cN:"string",r:0}),e.inherit(e.QSM,{cN:"string",r:0}),{cN:"function",bK:"subroutine function program",i:"[${=\\n]",c:[e.UTM,t]},e.C("!","$",{r:0}),{cN:"number",b:"(?=\\b|\\+|\\-|\\.)(?=\\.\\d|\\d)(?:\\d+)?(?:\\.?\\d*)(?:[de][+-]?\\d+)?\\b\\.?",r:0}]}});hljs.registerLanguage("awk",function(e){var r={cN:"variable",v:[{b:/\$[\w\d#@][\w\d_]*/},{b:/\$\{(.*?)}/}]},b="BEGIN END if else while do for in break continue delete next nextfile function func exit|10",n={cN:"string",c:[e.BE],v:[{b:/(u|b)?r?'''/,e:/'''/,r:10},{b:/(u|b)?r?"""/,e:/"""/,r:10},{b:/(u|r|ur)'/,e:/'/,r:10},{b:/(u|r|ur)"/,e:/"/,r:10},{b:/(b|br)'/,e:/'/},{b:/(b|br)"/,e:/"/},e.ASM,e.QSM]};return{k:{keyword:b},c:[r,n,e.RM,e.HCM,e.NM]}});hljs.registerLanguage("makefile",function(e){var i={cN:"variable",v:[{b:"\\$\\("+e.UIR+"\\)",c:[e.BE]},{b:/\$[@%<?\^\+\*]/}]},r={cN:"string",b:/"/,e:/"/,c:[e.BE,i]},a={cN:"variable",b:/\$\([\w-]+\s/,e:/\)/,k:{built_in:"subst patsubst strip findstring filter filter-out sort word wordlist firstword lastword dir notdir suffix basename addsuffix addprefix join wildcard realpath abspath error warning shell origin flavor foreach if or and call eval file value"},c:[i]},n={b:"^"+e.UIR+"\\s*[:+?]?=",i:"\\n",rB:!0,c:[{b:"^"+e.UIR,e:"[:+?]?=",eE:!0}]},t={cN:"meta",b:/^\.PHONY:/,e:/$/,k:{"meta-keyword":".PHONY"},l:/[\.\w]+/},l={cN:"section",b:/^[^\s]+:/,e:/$/,c:[i]};return{aliases:["mk","mak"],k:"define endef undefine ifdef ifndef ifeq ifneq else endif include -include sinclude override export unexport private vpath",l:/[\w-]+/,c:[e.HCM,i,r,a,n,t,l]}});hljs.registerLanguage("java",function(e){var a="[À-ʸa-zA-Z_$][À-ʸa-zA-Z_$0-9]*",t=a+"(<"+a+"(\\s*,\\s*"+a+")*>)?",r="false synchronized int abstract float private char boolean static null if const for true while long strictfp finally protected import native final void enum else break transient catch instanceof byte super volatile case assert short package default double public try this switch continue throws protected public private module requires exports do",s="\\b(0[bB]([01]+[01_]+[01]+|[01]+)|0[xX]([a-fA-F0-9]+[a-fA-F0-9_]+[a-fA-F0-9]+|[a-fA-F0-9]+)|(([\\d]+[\\d_]+[\\d]+|[\\d]+)(\\.([\\d]+[\\d_]+[\\d]+|[\\d]+))?|\\.([\\d]+[\\d_]+[\\d]+|[\\d]+))([eE][-+]?\\d+)?)[lLfF]?",c={cN:"number",b:s,r:0};return{aliases:["jsp"],k:r,i:/<\/|#/,c:[e.C("/\\*\\*","\\*/",{r:0,c:[{b:/\w+@/,r:0},{cN:"doctag",b:"@[A-Za-z]+"}]}),e.CLCM,e.CBCM,e.ASM,e.QSM,{cN:"class",bK:"class interface",e:/[{;=]/,eE:!0,k:"class interface",i:/[:"\[\]]/,c:[{bK:"extends implements"},e.UTM]},{bK:"new throw return else",r:0},{cN:"function",b:"("+t+"\\s+)+"+e.UIR+"\\s*\\(",rB:!0,e:/[{;=]/,eE:!0,k:r,c:[{b:e.UIR+"\\s*\\(",rB:!0,r:0,c:[e.UTM]},{cN:"params",b:/\(/,e:/\)/,k:r,r:0,c:[e.ASM,e.QSM,e.CNM,e.CBCM]},e.CLCM,e.CBCM]},c,{cN:"meta",b:"@[A-Za-z]+"}]}});hljs.registerLanguage("stan",function(e){return{c:[e.HCM,e.CLCM,e.CBCM,{b:e.UIR,l:e.UIR,k:{name:"for in while repeat until if then else",symbol:"bernoulli bernoulli_logit binomial binomial_logit beta_binomial hypergeometric categorical categorical_logit ordered_logistic neg_binomial neg_binomial_2 neg_binomial_2_log poisson poisson_log multinomial normal exp_mod_normal skew_normal student_t cauchy double_exponential logistic gumbel lognormal chi_square inv_chi_square scaled_inv_chi_square exponential inv_gamma weibull frechet rayleigh wiener pareto pareto_type_2 von_mises uniform multi_normal multi_normal_prec multi_normal_cholesky multi_gp multi_gp_cholesky multi_student_t gaussian_dlm_obs dirichlet lkj_corr lkj_corr_cholesky wishart inv_wishart","selector-tag":"int real vector simplex unit_vector ordered positive_ordered row_vector matrix cholesky_factor_corr cholesky_factor_cov corr_matrix cov_matrix",title:"functions model data parameters quantities transformed generated",literal:"true false"},r:0},{cN:"number",b:"0[xX][0-9a-fA-F]+[Li]?\\b",r:0},{cN:"number",b:"0[xX][0-9a-fA-F]+[Li]?\\b",r:0},{cN:"number",b:"\\d+(?:[eE][+\\-]?\\d*)?L\\b",r:0},{cN:"number",b:"\\d+\\.(?!\\d)(?:i\\b)?",r:0},{cN:"number",b:"\\d+(?:\\.\\d*)?(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{cN:"number",b:"\\.\\d+(?:[eE][+\\-]?\\d*)?i?\\b",r:0}]}});hljs.registerLanguage("javascript",function(e){var r="[A-Za-z$_][0-9A-Za-z$_]*",t={keyword:"in of if for while finally var new function do return void else break catch instanceof with throw case default try this switch continue typeof delete let yield const export super debugger as async await static import from as",literal:"true false null undefined NaN Infinity",built_in:"eval isFinite isNaN parseFloat parseInt decodeURI decodeURIComponent encodeURI encodeURIComponent escape unescape Object Function Boolean Error EvalError InternalError RangeError ReferenceError StopIteration SyntaxError TypeError URIError Number Math Date String RegExp Array Float32Array Float64Array Int16Array Int32Array Int8Array Uint16Array Uint32Array Uint8Array Uint8ClampedArray ArrayBuffer DataView JSON Intl arguments require module console window document Symbol Set Map WeakSet WeakMap Proxy Reflect Promise"},a={cN:"number",v:[{b:"\\b(0[bB][01]+)"},{b:"\\b(0[oO][0-7]+)"},{b:e.CNR}],r:0},n={cN:"subst",b:"\\$\\{",e:"\\}",k:t,c:[]},c={cN:"string",b:"`",e:"`",c:[e.BE,n]};n.c=[e.ASM,e.QSM,c,a,e.RM];var s=n.c.concat([e.CBCM,e.CLCM]);return{aliases:["js","jsx"],k:t,c:[{cN:"meta",r:10,b:/^\s*['"]use (strict|asm)['"]/},{cN:"meta",b:/^#!/,e:/$/},e.ASM,e.QSM,c,e.CLCM,e.CBCM,a,{b:/[{,]\s*/,r:0,c:[{b:r+"\\s*:",rB:!0,r:0,c:[{cN:"attr",b:r,r:0}]}]},{b:"("+e.RSR+"|\\b(case|return|throw)\\b)\\s*",k:"return throw case",c:[e.CLCM,e.CBCM,e.RM,{cN:"function",b:"(\\(.*?\\)|"+r+")\\s*=>",rB:!0,e:"\\s*=>",c:[{cN:"params",v:[{b:r},{b:/\(\s*\)/},{b:/\(/,e:/\)/,eB:!0,eE:!0,k:t,c:s}]}]},{b:/</,e:/(\/\w+|\w+\/)>/,sL:"xml",c:[{b:/<\w+\s*\/>/,skip:!0},{b:/<\w+/,e:/(\/\w+|\w+\/)>/,skip:!0,c:[{b:/<\w+\s*\/>/,skip:!0},"self"]}]}],r:0},{cN:"function",bK:"function",e:/\{/,eE:!0,c:[e.inherit(e.TM,{b:r}),{cN:"params",b:/\(/,e:/\)/,eB:!0,eE:!0,c:s}],i:/\[|%/},{b:/\$[(.]/},e.METHOD_GUARD,{cN:"class",bK:"class",e:/[{;=]/,eE:!0,i:/[:"\[\]]/,c:[{bK:"extends"},e.UTM]},{bK:"constructor",e:/\{/,eE:!0}],i:/#(?!!)/}});hljs.registerLanguage("tex",function(c){var e={cN:"tag",b:/\\/,r:0,c:[{cN:"name",v:[{b:/[a-zA-Zа-яА-я]+[*]?/},{b:/[^a-zA-Zа-яА-я0-9]/}],starts:{eW:!0,r:0,c:[{cN:"string",v:[{b:/\[/,e:/\]/},{b:/\{/,e:/\}/}]},{b:/\s*=\s*/,eW:!0,r:0,c:[{cN:"number",b:/-?\d*\.?\d+(pt|pc|mm|cm|in|dd|cc|ex|em)?/}]}]}}]};return{c:[e,{cN:"formula",c:[e],r:0,v:[{b:/\$\$/,e:/\$\$/},{b:/\$/,e:/\$/}]},c.C("%","$",{r:0})]}});hljs.registerLanguage("xml",function(s){var e="[A-Za-z0-9\\._:-]+",t={eW:!0,i:/</,r:0,c:[{cN:"attr",b:e,r:0},{b:/=\s*/,r:0,c:[{cN:"string",endsParent:!0,v:[{b:/"/,e:/"/},{b:/'/,e:/'/},{b:/[^\s"'=<>`]+/}]}]}]};return{aliases:["html","xhtml","rss","atom","xjb","xsd","xsl","plist"],cI:!0,c:[{cN:"meta",b:"<!DOCTYPE",e:">",r:10,c:[{b:"\\[",e:"\\]"}]},s.C("<!--","-->",{r:10}),{b:"<\\!\\[CDATA\\[",e:"\\]\\]>",r:10},{b:/<\?(php)?/,e:/\?>/,sL:"php",c:[{b:"/\\*",e:"\\*/",skip:!0}]},{cN:"tag",b:"<style(?=\\s|>|$)",e:">",k:{name:"style"},c:[t],starts:{e:"</style>",rE:!0,sL:["css","xml"]}},{cN:"tag",b:"<script(?=\\s|>|$)",e:">",k:{name:"script"},c:[t],starts:{e:"</script>",rE:!0,sL:["actionscript","javascript","handlebars","xml"]}},{cN:"meta",v:[{b:/<\?xml/,e:/\?>/,r:10},{b:/<\?\w+/,e:/\?>/}]},{cN:"tag",b:"</?",e:"/?>",c:[{cN:"name",b:/[^\/><\s]+/,r:0},t]}]}});hljs.registerLanguage("markdown",function(e){return{aliases:["md","mkdown","mkd"],c:[{cN:"section",v:[{b:"^#{1,6}",e:"$"},{b:"^.+?\\n[=-]{2,}$"}]},{b:"<",e:">",sL:"xml",r:0},{cN:"bullet",b:"^([*+-]|(\\d+\\.))\\s+"},{cN:"strong",b:"[*_]{2}.+?[*_]{2}"},{cN:"emphasis",v:[{b:"\\*.+?\\*"},{b:"_.+?_",r:0}]},{cN:"quote",b:"^>\\s+",e:"$"},{cN:"code",v:[{b:"^```w*s*$",e:"^```s*$"},{b:"`.+?`"},{b:"^( {4}|	)",e:"$",r:0}]},{b:"^[-\\*]{3,}",e:"$"},{b:"\\[.+?\\][\\(\\[].*?[\\)\\]]",rB:!0,c:[{cN:"string",b:"\\[",e:"\\]",eB:!0,rE:!0,r:0},{cN:"link",b:"\\]\\(",e:"\\)",eB:!0,eE:!0},{cN:"symbol",b:"\\]\\[",e:"\\]",eB:!0,eE:!0}],r:10},{b:/^\[[^\n]+\]:/,rB:!0,c:[{cN:"symbol",b:/\[/,e:/\]/,eB:!0,eE:!0},{cN:"link",b:/:\s*/,e:/$/,eB:!0}]}]}});hljs.registerLanguage("json",function(e){var i={literal:"true false null"},n=[e.QSM,e.CNM],r={e:",",eW:!0,eE:!0,c:n,k:i},t={b:"{",e:"}",c:[{cN:"attr",b:/"/,e:/"/,c:[e.BE],i:"\\n"},e.inherit(r,{b:/:/})],i:"\\S"},c={b:"\\[",e:"\\]",c:[e.inherit(r)],i:"\\S"};return n.splice(n.length,0,t,c),{c:n,k:i,i:"\\S"}});"></script>

<style type="text/css">
code{white-space: pre-wrap;}
span.smallcaps{font-variant: small-caps;}
span.underline{text-decoration: underline;}
div.column{display: inline-block; vertical-align: top; width: 50%;}
div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
ul.task-list{list-style: none;}
</style>

<style type="text/css">code{white-space: pre;}</style>
<script type="text/javascript">
if (window.hljs) {
  hljs.configure({languages: []});
  hljs.initHighlightingOnLoad();
  if (document.readyState && document.readyState === "complete") {
    window.setTimeout(function() { hljs.initHighlighting(); }, 0);
  }
}
</script>









<style type="text/css">
.main-container {
max-width: 940px;
margin-left: auto;
margin-right: auto;
}
img {
max-width:100%;
}
.tabbed-pane {
padding-top: 12px;
}
.html-widget {
margin-bottom: 20px;
}
button.code-folding-btn:focus {
outline: none;
}
summary {
display: list-item;
}
details > summary > p:only-child {
display: inline;
}
pre code {
padding: 0;
}
</style>



<!-- tabsets -->

<style type="text/css">
.tabset-dropdown > .nav-tabs {
display: inline-table;
max-height: 500px;
min-height: 44px;
overflow-y: auto;
border: 1px solid #ddd;
border-radius: 4px;
}
.tabset-dropdown > .nav-tabs > li.active:before, .tabset-dropdown > .nav-tabs.nav-tabs-open:before {
content: "\e259";
font-family: 'Glyphicons Halflings';
display: inline-block;
padding: 10px;
border-right: 1px solid #ddd;
}
.tabset-dropdown > .nav-tabs.nav-tabs-open > li.active:before {
content: "\e258";
font-family: 'Glyphicons Halflings';
border: none;
}
.tabset-dropdown > .nav-tabs > li.active {
display: block;
}
.tabset-dropdown > .nav-tabs > li > a,
.tabset-dropdown > .nav-tabs > li > a:focus,
.tabset-dropdown > .nav-tabs > li > a:hover {
border: none;
display: inline-block;
border-radius: 4px;
background-color: transparent;
}
.tabset-dropdown > .nav-tabs.nav-tabs-open > li {
display: block;
float: none;
}
.tabset-dropdown > .nav-tabs > li {
display: none;
}
</style>

<!-- code folding -->




</head>

<body>


<div class="container-fluid main-container">




<div id="header">



<h1 class="title toc-ignore">subscript3_appendixmaterial.R</h1>
<h4 class="author">stuart</h4>
<h4 class="date">2025-04-15</h4>

</div>


<pre class="r"><code>#Turnbull-Dugarte &amp; López-Ortega (2025)

#---- Replication script #4 ----
#---- REQUIRES COMPLETION OF SCRIPT #1 AND SCRIPT #2 FIRST ----

##NB: Table A5 and Table A6 are not reproduced in this code as these are descriptive tables
##that provide details on the experimental design. 


###TABLE A1 and TABLE A2###
directUK &lt;- directUK |&gt; 
  mutate(gender_bin= case_when(gender==2 ~ NA_real_,
                               TRUE ~ gender),
         gender_bin= case_when(gender_bin== 1~1, gender_bin==0 ~ 2),
         gender_text= case_when(gender== 0 ~ &quot;Man&quot;,
                                gender== 1 ~ &quot;Woman&quot;,
                                gender== 2 ~ &quot;Non-binary&quot;),
         Education_text= case_when(degree== 1 ~ &quot;Lower than university&quot;,
                                   degree== 0 ~ &quot;University degree or more&quot;
         )
  ) |&gt; 
  drop_na(gender_bin, age, Education_text)

directUK &lt;- directUK %&gt;%
  mutate(
    sex_pref = case_when(
      sex_pref == 1 ~ &quot;men only&quot;,
      sex_pref == 5 ~ &quot;mainly men&quot;,
      sex_pref == 6 ~ &quot;mainly women&quot;,
      sex_pref == 7 ~ &quot;women only&quot;,
      sex_pref == 3 ~ &quot;both men and women equally&quot;
    ),
    tinder = case_when(
      tinder == 1 ~ &quot;Never used&quot;,
      tinder == 2 ~ &quot;A couple days&quot;,
      tinder == 3 ~ &quot;1-6 months&quot;,
      tinder == 4 ~ &quot;6 months-2 years&quot;,
      tinder == 5 ~ &quot;2-5 years&quot;,
      tinder == 6 ~ &quot;&gt;5 years&quot;
    )
  ) |&gt; 
  mutate(
    sexual_identity = case_when(
      gender_text == &quot;Man&quot; &amp; sex_pref %in% c(&quot;men only&quot;) ~ &quot;Gay&quot;,
      gender_text == &quot;Woman&quot; &amp; sex_pref %in% c(&quot;women only&quot;) ~ &quot;Lesbian&quot;,
      gender_text == &quot;Woman&quot; &amp; sex_pref %in% c(&quot;both men and women equally&quot;, &quot;mainly women&quot;, &quot;mainly men&quot;) ~ &quot;Bi woman&quot;,
      gender_text == &quot;Man&quot; &amp; sex_pref %in% c(&quot;both men and women equally&quot;, &quot;mainly women&quot;, &quot;mainly men&quot;)  ~ &quot;Bi man&quot;,
      gender_text == &quot;Man&quot; &amp; sex_pref %in% c(&quot;women only&quot;) ~ &quot;Man hetero&quot;,
      gender_text == &quot;Woman&quot; &amp; sex_pref %in% c(&quot;men only&quot;) ~ &quot;Woman hetero&quot;,
      TRUE ~ NA_character_  # For other cases or missing values
    )
  )



datasummary(gender_text + Education_text + sexual_identity + partyID_full + tinder + 1 ~ N + Percent(fn = function(x, y) 100 * length(x) / length(y)), 
            data = directUK, output=&quot;tables_appendix/TableA1.tex&quot;)</code></pre>
<pre><code>## Warning: To compile a LaTeX document with this table, the following commands must be placed in the document preamble:
## 
## \usepackage{booktabs}
## \usepackage{siunitx}
## \newcolumntype{d}{S[input-symbols = ()]}
## 
## To disable `siunitx` and prevent `modelsummary` from wrapping numeric entries in `\num{}`, call:
## 
## options(&quot;modelsummary_format_numeric_latex&quot; = &quot;plain&quot;)
##  This warning appears once per session.</code></pre>
<pre class="r"><code>datasummary(age + ingroup_affect + outgroup_affect ~
              Mean + SD + Min + Median + Max,
            data = directUK,
            fmt = &quot;%.2f&quot;,  
            output = &quot;tables_appendix/TableA2.tex&quot;)



###TABLE A3 and TABLE A4###
directES &lt;- directES |&gt; 
  mutate(gender_bin= case_when(gender==2 ~ NA_real_,
                               TRUE ~ gender),
         gender_bin= case_when(gender_bin== 1~1, gender_bin==0 ~ 2),
         gender_text= case_when(gender== 0 ~ &quot;Man&quot;,
                                gender== 1 ~ &quot;Woman&quot;,
                                gender== 2 ~ &quot;Non-binary&quot;),
         Age= as.numeric(factor(Age)),
         Education= case_when(educ&gt;= 4 ~ 2,
                              TRUE ~ 1),
         Education_text= case_when(Education== 1 ~ &quot;Lower than university&quot;,
                                   Education== 2 ~ &quot;University degree or more&quot;
         )
  ) |&gt; 
  drop_na(gender_bin, Age, Education) 

directES &lt;- directES %&gt;%
  mutate(
    sex_pref = case_when(
      sex_pref == 1 ~ &quot;men only&quot;,
      sex_pref == 5 ~ &quot;mainly men&quot;,
      sex_pref == 6 ~ &quot;mainly women&quot;,
      sex_pref == 7 ~ &quot;women only&quot;,
      sex_pref == 3 ~ &quot;both men and women equally&quot;
    ),
    tinder = case_when(
      tinder == 1 ~ &quot;Never used&quot;,
      tinder == 2 ~ &quot;A couple days&quot;,
      tinder == 3 ~ &quot;1-6 months&quot;,
      tinder == 4 ~ &quot;6 months-2 years&quot;,
      tinder == 5 ~ &quot;2-5 years&quot;,
      tinder == 6 ~ &quot;&gt;5 years&quot;
    )
  ) |&gt; 
  mutate(
    sexual_identity = case_when(
      gender_text == &quot;Man&quot; &amp; sex_pref %in% c(&quot;men only&quot;) ~ &quot;Gay&quot;,
      gender_text == &quot;Woman&quot; &amp; sex_pref %in% c(&quot;women only&quot;) ~ &quot;Lesbian&quot;,
      gender_text == &quot;Woman&quot; &amp; sex_pref %in% c(&quot;both men and women equally&quot;, &quot;mainly women&quot;, &quot;mainly men&quot;) ~ &quot;Bi woman&quot;,
      gender_text == &quot;Man&quot; &amp; sex_pref %in% c(&quot;both men and women equally&quot;, &quot;mainly women&quot;, &quot;mainly men&quot;)  ~ &quot;Bi man&quot;,
      gender_text == &quot;Man&quot; &amp; sex_pref %in% c(&quot;women only&quot;) ~ &quot;Man hetero&quot;,
      gender_text == &quot;Woman&quot; &amp; sex_pref %in% c(&quot;men only&quot;) ~ &quot;Woman hetero&quot;,
      TRUE ~ NA_character_  # For other cases or missing values
    )
  )

datasummary(gender_text + Education_text + sexual_identity + partyID_full + tinder + 1 ~ N + Percent(fn = function(x, y) 100 * length(x) / length(y)), 
            data = directES, output=&quot;tables_appendix/TableA3.tex&quot;)
datasummary(age + ingroup_affect + outgroup_affect ~
              Mean + SD + Min + Median + Max,
            data = tinder_conjoint_ES,
            fmt = &quot;%.2f&quot;,  
            output=&quot;tables_appendix/TableA4.tex&quot;)



###FIGURE A1###

directUK_noCONS &lt;- directUK %&gt;%
  filter(!(partyID_full %in% c(&quot;Plaid Cymru&quot;, &quot;SNP&quot;, &quot;Reform UK&quot;, &quot;Conservative party&quot;)))

modC&lt;- lm(direct_votesCon ~ partyID_full, data=directUK_noCONS)
directUK_noCONS$predicted4&lt;-predict(modC, directUK_noCONS)

mean_votesCon &lt;- aggregate(direct_votesCon ~ partyID_full, data = directUK_noCONS, FUN = mean)
se_votesCon &lt;- aggregate(direct_votesCon ~ partyID_full, data = directUK_noCONS, FUN = function(x) sd(x)/sqrt(length(x)))

directvotesCon &lt;- merge(mean_votesCon, se_votesCon, by = &quot;partyID_full&quot;)
colnames(directvotesCon) &lt;- c(&quot;partyID_full&quot;, &quot;mean_votesCon&quot;, &quot;se_votesCon&quot;)

directvotesCon$lower90 &lt;- directvotesCon$mean_votesCon - (1.645 * directvotesCon$se_votesCon)
directvotesCon$higher90 &lt;- directvotesCon$mean_votesCon + (1.645 * directvotesCon$se_votesCon)
directvotesCon$lower95 &lt;- directvotesCon$mean_votesCon - (1.96 * directvotesCon$se_votesCon)
directvotesCon$higher95 &lt;- directvotesCon$mean_votesCon + (1.96 * directvotesCon$se_votesCon)
directvotesCon$lower99 &lt;- directvotesCon$mean_votesCon - (2.58 * directvotesCon$se_votesCon)
directvotesCon$higher99 &lt;- directvotesCon$mean_votesCon + (2.58 * directvotesCon$se_votesCon)
directvotesCon$lower999 &lt;- directvotesCon$mean_votesCon - (3.29 * directvotesCon$se_votesCon)
directvotesCon$higher999 &lt;- directvotesCon$mean_votesCon + (3.29 * directvotesCon$se_votesCon)

col3 &lt;- c(&quot;red2&quot;,&quot;orange1&quot;,&quot;green4&quot;)
votesConplot&lt;- directvotesCon %&gt;% 
  ggplot(aes(partyID_full, color=partyID_full)) +
  scale_fill_manual(values = col3) +
  scale_color_manual(values = col3)+
  geom_vline(xintercept = 0.5, colour=&quot;gray&quot;, linetype=&quot;dashed&quot;)+ ##.46 median acceptance
  geom_segment(aes(x=lower90, xend=higher90, y=partyID_full, yend=partyID_full), size=4, alpha=1, position = position_nudge(y = .4))+ 
  geom_segment(aes(x=lower95, xend=higher95, y=partyID_full, yend=partyID_full), size=3, alpha=.8, position = position_nudge(y = .4))+ 
  geom_segment(aes(x=lower99, xend=higher99, y=partyID_full, yend=partyID_full), size=2, alpha=.6, position = position_nudge(y = .4))+
  geom_point(aes(x=mean_votesCon, y=partyID_full), fill=&quot;white&quot;, color=&quot;grey67&quot;, size=2.5,  pch=21, position = position_nudge(y = .4))+
  labs(y=NULL, subtitle=&#39;Is voting for the Conservatives a red flag in a partner?&#39;, x=&quot;&quot;)+
  theme_ggdist()+
  xlim(0,1)+
  theme(legend.position = &quot;none&quot;) +
  geom_jitter(data=directUK_noCONS, aes(y=partyID_full, x=predicted4, fill=partyID_full),
              height=.3, width=.2,size=3, alpha=.2,
              pch=21, color=&quot;grey57&quot;)+  
  geom_label(
    aes(label = sprintf(&quot;%0.2f&quot;, round(mean_votesCon, digits = 2)), y = partyID_full, x = mean_votesCon),
    size=3, fontface = &quot;bold&quot;)+
  geom_label(
    aes(label = partyID_full, x = mean_votesCon, y = partyID_full),
    nudge_x = .15, size=3, fontface = &quot;bold&quot;)+
  theme(strip.background = element_blank(),
        strip.text = element_blank(),
        axis.text.x = element_blank(),
        axis.ticks.x = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=0))+
  coord_flip()
ggsave(&quot;figures_appendix/FigureA1.png&quot;)</code></pre>
<pre><code>## Saving 7 x 5 in image</code></pre>
<pre class="r"><code>###FIGURE A2###


directES_noPP &lt;- directES %&gt;%
  filter(!(partyID_full %in% c(&quot;Other&quot;, &quot;VOX&quot;, &quot;PP&quot;)))
modP&lt;- lm(direct_votesPP ~ partyID_full, data=directES_noPP)
directES_noPP$predicted4&lt;-predict(modP, directES_noPP)

mean_votesPP &lt;- aggregate(direct_votesPP ~ partyID_full, data = directES_noPP, FUN = mean)
se_votesPP &lt;- aggregate(direct_votesPP ~ partyID_full, data = directES_noPP, FUN = function(x) sd(x)/sqrt(length(x)))

directvotesPP &lt;- merge(mean_votesPP, se_votesPP, by = &quot;partyID_full&quot;)
colnames(directvotesPP) &lt;- c(&quot;partyID_full&quot;, &quot;mean_votesPP&quot;, &quot;se_votesPP&quot;)


directvotesPP$lower90 &lt;- directvotesPP$mean_votesPP - (1.645 * directvotesPP$se_votesPP)
directvotesPP$higher90 &lt;- directvotesPP$mean_votesPP + (1.645 * directvotesPP$se_votesPP)
directvotesPP$lower95 &lt;- directvotesPP$mean_votesPP - (1.96 * directvotesPP$se_votesPP)
directvotesPP$higher95 &lt;- directvotesPP$mean_votesPP + (1.96 * directvotesPP$se_votesPP)
directvotesPP$lower99 &lt;- directvotesPP$mean_votesPP - (2.58 * directvotesPP$se_votesPP)
directvotesPP$higher99 &lt;- directvotesPP$mean_votesPP + (2.58 * directvotesPP$se_votesPP)
directvotesPP$lower999 &lt;- directvotesPP$mean_votesPP - (3.29 * directvotesPP$se_votesPP)
directvotesPP$higher999 &lt;- directvotesPP$mean_votesPP + (3.29 * directvotesPP$se_votesPP)

col4 &lt;- c(&quot;purple&quot;,&quot;red2&quot;,&quot;deeppink&quot;)
votesPPplot&lt;- directvotesPP %&gt;% 
  ggplot(aes(partyID_full, color=partyID_full)) +
  scale_fill_manual(values = col4) +
  scale_color_manual(values = col4)+
  geom_vline(xintercept = 0.5, colour=&quot;gray&quot;, linetype=&quot;dashed&quot;)+ ##.46 median acceptance
  geom_segment(aes(x=lower90, xend=higher90, y=partyID_full, yend=partyID_full), size=4, alpha=1, position = position_nudge(y = .4))+ 
  geom_segment(aes(x=lower95, xend=higher95, y=partyID_full, yend=partyID_full), size=3, alpha=.8, position = position_nudge(y = .4))+ 
  geom_segment(aes(x=lower99, xend=higher99, y=partyID_full, yend=partyID_full), size=2, alpha=.6, position = position_nudge(y = .4))+
  geom_point(aes(x=mean_votesPP, y=partyID_full), fill=&quot;white&quot;, color=&quot;grey67&quot;, size=2.5,  pch=21, position = position_nudge(y = .4))+
  labs(y=NULL, subtitle=&#39;Is voting for the PP a red flag in a partner?&#39;, x=&quot;&quot;)+
  theme_ggdist()+
  xlim(0,1)+
  theme(legend.position = &quot;none&quot;) +
  geom_jitter(data=directES_noPP, aes(y=partyID_full, x=predicted4, fill=partyID_full),
              height=.3, width=.2,size=3, alpha=.2,
              pch=21, color=&quot;grey57&quot;)+  
  geom_label(
    aes(label = sprintf(&quot;%0.2f&quot;, round(mean_votesPP, digits = 2)), y = partyID_full, x = mean_votesPP),
    size=3, fontface = &quot;bold&quot;)+
  geom_label(
    aes(label = partyID_full, x = mean_votesPP, y = partyID_full),
    nudge_x = .15, size=3, fontface = &quot;bold&quot;)+
  theme(strip.background = element_blank(),
        strip.text = element_blank(),
        axis.text.x = element_blank(),
        axis.ticks.x = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=0))+
  coord_flip()
ggsave(&quot;figures_appendix/FigureA2.png&quot;)</code></pre>
<pre><code>## Saving 7 x 5 in image</code></pre>
<pre><code>## Warning: Removed 1801 rows containing missing values or values outside the scale range
## (`geom_point()`).</code></pre>
<pre class="r"><code>###FIGURE A3###
mm.1 &lt;- mm(tinder_conjoint_UK, selected ~ FLAG + BI + TRANS + PROS + CONGRUENCE + ETHNICITY + EMOTION + RELATIONSHIP + DISTANCE + EDUCATION_SLIM + JOB_SLIM + PARTY,
           id = ~ ResponseId, h0 = 0.5)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>plot(mm.1, feature_headers = FALSE) +
  ggplot2::facet_wrap(~feature, ncol = 1L,
                      scales = &quot;free_y&quot;, strip.position = &quot;right&quot;) + 
  geom_point(size=1.5)+ 
  geom_vline(xintercept = 0.46, colour=&quot;gray33&quot;)+
  theme(legend.position = &quot;none&quot;,
        strip.text = element_blank())+
  geom_text(
    aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = .22),
    size=3, fontface = &quot;bold&quot;)</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>ggsave(&quot;figures_appendix/FigureA3.png&quot;)</code></pre>
<pre><code>## Saving 7 x 5 in image</code></pre>
<pre class="r"><code>###FIGURE A4###

mmES.1 &lt;- mm(tinder_conjoint_ES, selected ~ FLAG + BI + TRANS + VEG + 
               CONGRUENCE + RELATIONSHIP + DISTANCE + EDUCATION_SLIM + 
               JOB_SLIM + PARTY, id = ~ ResponseId, h0 = 0.5)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>plot(mmES.1, feature_headers = FALSE) +
  ggplot2::facet_wrap(~feature, ncol = 1L,
                      scales = &quot;free_y&quot;, strip.position = &quot;right&quot;) + 
  geom_point(size=1.5)+ 
  geom_vline(xintercept = 0.46, colour=&quot;gray33&quot;)+
  theme(legend.position = &quot;none&quot;,
        strip.text = element_blank())+
  geom_text(
    aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = .29),
    size=3, fontface = &quot;bold&quot;)</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>ggsave(&quot;figures_appendix/FigureA4.png&quot;)</code></pre>
<pre><code>## Saving 7 x 5 in image</code></pre>
<pre class="r"><code>###FIGURE A5###
mm.1 &lt;- mm(tinder_conjoint_UK_noReform, selected ~ FLAG + BI + TRANS + PROS + CONGRUENCE + ETHNICITY + EMOTION + RELATIONSHIP + DISTANCE + EDUCATION_SLIM + JOB_SLIM + PARTY,
           id = ~ ResponseId, h0 = 0.5)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>mm.1$lower90 &lt;- mm.1$estimate - (1.645 * mm.1$std.error)
mm.1$higher90 &lt;- mm.1$estimate + (1.645 * mm.1$std.error)
mm.1$lower95 &lt;- mm.1$estimate - (1.96 * mm.1$std.error)
mm.1$higher95 &lt;- mm.1$estimate + (1.96 * mm.1$std.error)
mm.1$lower99 &lt;- mm.1$estimate - (2.58 * mm.1$std.error)
mm.1$higher99 &lt;- mm.1$estimate + (2.58 * mm.1$std.error)
mm.1$lower999 &lt;- mm.1$estimate - (3.29 * mm.1$std.error)
mm.1$higher999 &lt;- mm.1$estimate + (3.29 * mm.1$std.error)
mm.1&lt;-subset(mm.1, feature %in% c(&quot;PARTY&quot;)) 

mmplot1&lt;- mm.1 %&gt;% 
  ggplot(aes(level)) +
  geom_vline(xintercept = .46, colour=&quot;gray&quot;, linetype=&quot;dashed&quot;)+ ##.46 median acceptance
  geom_segment(aes(x=lower90, xend=higher90, y=level, yend=level), size=4, alpha=1)+ 
  geom_segment(aes(x=lower95, xend=higher95, y=level, yend=level), size=3, alpha=.8)+ 
  geom_segment(aes(x=lower99, xend=higher99, y=level, yend=level), size=2, alpha=.6)+
  facet_grid(feature~., scales=&#39;free&#39;, space=&#39;free&#39;) +  
  geom_point(aes(x=estimate, y=level), fill=&quot;white&quot;, color=&quot;grey67&quot;, size=2.5,  pch=21)+
  labs(y=NULL, subtitle=&#39;Marginal means (MM)&#39;, x=&quot;&quot;)+
  theme_ggdist()+
  theme(legend.position = &quot;none&quot;) +
  xlim(.3,.6)+
  geom_label(
    aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
    nudge_y = .3, size=2.5, fontface = &quot;bold&quot;)+
  geom_label(
    aes(label = level, y = level, x = estimate),
    nudge_y = -.3, size=2.5, fontface = &quot;bold&quot;)+
  theme(strip.background = element_blank(),
        strip.text = element_blank(),
        axis.text.y = element_blank(),
        axis.ticks.y = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=.5))

amce.1 &lt;- amce(tinder_conjoint_UK_noReform, selected ~ FLAG + BI + TRANS + PROS + CONGRUENCE + ETHNICITY + EMOTION + RELATIONSHIP + DISTANCE + EDUCATION_SLIM + JOB_SLIM + PARTY,
               id = ~ ResponseId)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>amce.1$lower90 &lt;- amce.1$estimate - (1.645 * amce.1$std.error)
amce.1$higher90 &lt;- amce.1$estimate + (1.645 * amce.1$std.error)
amce.1$lower95 &lt;- amce.1$estimate - (1.96 * amce.1$std.error)
amce.1$higher95 &lt;- amce.1$estimate + (1.96 * amce.1$std.error)
amce.1$lower99 &lt;- amce.1$estimate - (2.58 * amce.1$std.error)
amce.1$higher99 &lt;- amce.1$estimate + (2.58 * amce.1$std.error)
amce.1$lower999 &lt;- amce.1$estimate - (3.29 * amce.1$std.error)
amce.1$higher999 &lt;- amce.1$estimate + (3.29 * amce.1$std.error)

amce.1&lt;-subset(amce.1, feature %in% c(&quot;PARTY&quot;)) 
amce.1&lt;-subset(amce.1, level %in% c(&quot;Reform UK&quot;, &quot;Lib Dem&quot;, &quot;Labour&quot;, &quot;Greens&quot;)) 

amceplot1&lt;- amce.1 %&gt;% 
  ggplot(aes(level)) +
  geom_segment(aes(x=lower90, xend=higher90, y=level, yend=level), size=4, alpha=1)+ 
  geom_segment(aes(x=lower95, xend=higher95, y=level, yend=level), size=3, alpha=.8)+ 
  geom_segment(aes(x=lower99, xend=higher99, y=level, yend=level), size=2, alpha=.6)+
  facet_grid(feature~., scales=&#39;free&#39;, space=&#39;free&#39;) +  
  geom_point(aes(x=estimate, y=level), fill=&quot;white&quot;, color=&quot;grey67&quot;, size=2.5,  pch=21)+
  labs(y=NULL, subtitle=&#39;Average marginal component effect (AMCE)&#39;, x=&quot;&quot;)+
  theme_ggdist()+
  theme(legend.position = &quot;none&quot;) +
  xlim(-.2,.22)+
  geom_label(
    aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
    nudge_y = .25, size=2.5, fontface = &quot;bold&quot;)+
  geom_label(
    aes(label = level, y = level, x = estimate),
    nudge_y = -.25, size=2.5, fontface = &quot;bold&quot;)+
  theme(strip.background = element_blank(),
        strip.text = element_blank(),
        axis.text.y = element_blank(),
        axis.ticks.y = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=.5)) + 
  geom_vline(xintercept = 0, colour=&quot;gray&quot;, linetype=&quot;dashed&quot;) ##.46 median acceptance

mmplot1+amceplot1+
  plot_annotation(caption = &#39;Confidence intervals at 99%, 95% &amp; 90%&#39;)</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAPACAYAAAD0ZtPZAAAEDmlDQ1BrQ0dDb2xvclNwYWNlR2VuZXJpY1JHQgAAOI2NVV1oHFUUPpu5syskzoPUpqaSDv41lLRsUtGE2uj+ZbNt3CyTbLRBkMns3Z1pJjPj/KRpKT4UQRDBqOCT4P9bwSchaqvtiy2itFCiBIMo+ND6R6HSFwnruTOzu5O4a73L3PnmnO9+595z7t4LkLgsW5beJQIsGq4t5dPis8fmxMQ6dMF90A190C0rjpUqlSYBG+PCv9rt7yDG3tf2t/f/Z+uuUEcBiN2F2Kw4yiLiZQD+FcWyXYAEQfvICddi+AnEO2ycIOISw7UAVxieD/Cyz5mRMohfRSwoqoz+xNuIB+cj9loEB3Pw2448NaitKSLLRck2q5pOI9O9g/t/tkXda8Tbg0+PszB9FN8DuPaXKnKW4YcQn1Xk3HSIry5ps8UQ/2W5aQnxIwBdu7yFcgrxPsRjVXu8HOh0qao30cArp9SZZxDfg3h1wTzKxu5E/LUxX5wKdX5SnAzmDx4A4OIqLbB69yMesE1pKojLjVdoNsfyiPi45hZmAn3uLWdpOtfQOaVmikEs7ovj8hFWpz7EV6mel0L9Xy23FMYlPYZenAx0yDB1/PX6dledmQjikjkXCxqMJS9WtfFCyH9XtSekEF+2dH+P4tzITduTygGfv58a5VCTH5PtXD7EFZiNyUDBhHnsFTBgE0SQIA9pfFtgo6cKGuhooeilaKH41eDs38Ip+f4At1Rq/sjr6NEwQqb/I/DQqsLvaFUjvAx+eWirddAJZnAj1DFJL0mSg/gcIpPkMBkhoyCSJ8lTZIxk0TpKDjXHliJzZPO50dR5ASNSnzeLvIvod0HG/mdkmOC0z8VKnzcQ2M/Yz2vKldduXjp9bleLu0ZWn7vWc+l0JGcaai10yNrUnXLP/8Jf59ewX+c3Wgz+B34Df+vbVrc16zTMVgp9um9bxEfzPU5kPqUtVWxhs6OiWTVW+gIfywB9uXi7CGcGW/zk98k/kmvJ95IfJn/j3uQ+4c5zn3Kfcd+AyF3gLnJfcl9xH3OfR2rUee80a+6vo7EK5mmXUdyfQlrYLTwoZIU9wsPCZEtP6BWGhAlhL3p2N6sTjRdduwbHsG9kq32sgBepc+xurLPW4T9URpYGJ3ym4+8zA05u44QjST8ZIoVtu3qE7fWmdn5LPdqvgcZz8Ww8BWJ8X3w0PhQ/wnCDGd+LvlHs8dRy6bLLDuKMaZ20tZrqisPJ5ONiCq8yKhYM5cCgKOu66Lsc0aYOtZdo5QCwezI4wm9J/v0X23mlZXOfBjj8Jzv3WrY5D+CsA9D7aMs2gGfjve8ArD6mePZSeCfEYt8CONWDw8FXTxrPqx/r9Vt4biXeANh8vV7/+/16ffMD1N8AuKD/A/8leAvFY9bLAAAAOGVYSWZNTQAqAAAACAABh2kABAAAAAEAAAAaAAAAAAACoAIABAAAAAEAAAVAoAMABAAAAAEAAAPAAAAAALYRw1EAAEAASURBVHgB7N0HvBxV2cfxJ6SQRgqBQEihl9BL6DVSIwSQKiKCiDRBioiKaACNAoKA9C7SRKWX0KMEQotAaIHQhBAIIYVAQiCE7Hv+R8++M3Nn79167+ze3/l87t3ZqWe+s7sz88wpHXIuGQkBBBBAAAEEEEAAAQQQQAABBBBAAAEEEGhAgcUacJ/YJQQQQAABBBBAAAEEEEAAAQQQQAABBBBAwAsQAOWDgAACCCCAAAIIIIAAAggggAACCCCAAAINK0AAtGEPLTuGAAIIIIAAAggggAACCCCAAAIIIIAAAgRA+QwggAACCCCAAAIIIIAAAggggAACCCCAQMMKEABt2EPLjiGAAAIIIIAAAggggAACCCCAAAIIIIAAAVA+AwgggAACCCCAAAIIIIAAAggggAACCCDQsAIEQBv20LJjCCCAAAIIIIAAAggggAACCCCAAAIIIEAAlM8AAggggAACCCCAAAIIIIAAAggggAACCDSsAAHQhj207BgCCCCAAAIIIIAAAggggAACCCCAAAIIEADlM4AAAggggAACCCCAAAIIIIAAAggggAACDStAALRhDy07hgACCCCAAAIIIIAAAggggAACCCCAAAIEQPkMIIAAAggggAACCCCAAAIIIIAAAggggEDDChAAbdhDy44hgAACCCCAAAIIIIAAAggggAACCCCAAAFQPgMIIIAAAggggAACCCCAAAIIIIAAAggg0LACBEAb9tCyYwgggAACCCCAAAIIIIAAAggggAACCCBAAJTPAAIIIIAAAggggAACCCCAAAIIIIAAAgg0rAAB0IY9tOwYAggggAACCCCAAAIIIIAAAggggAACCBAA5TOAAAIIIIAAAggggAACCCCAAAIIIIAAAg0rQAC0YQ8tO4YAAggggAACCCCAAAIIIIAAAggggAACBED5DCCAAAIIIIAAAggggAACCCCAAAIIIIBAwwoQAG3YQ8uOIYAAAggggAACCCCAAAIIIIAAAggggAABUD4DCCCAAAIIIIAAAggggAACCCCAAAIIINCwAgRAG/bQsmMIIIAAAggggAACCCCAAAIIIIAAAgggQACUzwACCCCAAAIIIIAAAggggAACCCCAAAIINKwAAdCGPbTsGAIIIIAAAggggAACCCCAAAIIIIAAAggQAOUzgAACCCCAAAIIIIAAAggggAACCCCAAAINK0AAtGEPLTuGAAIIIIAAAggggAACCCCAAAIIIIAAAgRA+QwggAACCCCAAAIIIIAAAggggAACCCCAQMMKdGrYPWPHEEAAAQQaXmDixIn28ssv+/3ccccdrX///g2xz7fccostXLjQllxySRsxYkRD7BM7gQACCCCAAAIIIFBdgenTp9u///1v69Gjh62xxhoFr4WLna+6uWu7tTXqPUKa6Ny5c+2ll16yGTNm+M/ASiutZB07dkybtWbj6uXehRKgNfsIsOJ6F7jooousQ4cOTf46depks2fPLrh7Bx98cJNltJ5VV1214DL1NOGqq66K7d8hhxyS2ewPGjQoltd33nkns3klY6ULKEC4995723e/+1079thjbYkllsivZOmll44d+/Bd/slPfpKfJzmgz0eYL/l64403xmav9e/DzTff7Pdr1113taeeeiq2bd4ggEB1BH71q181+c7fcMMN1Vk5a0EgowL1ch1XL/nM6GEmWzUWWLRokd1///013krzq7/vvvtMga5lllnGvvnNb9q2227rh/XwfN68efmFi50vv0AbDlTLtbl7hEK7V8k1Qa3vC9Ly/Nprr9l+++1nq6yyivXq1cu22GIL23333W211VbzwfBhw4bZvffem7ZoftzKK6/c5DooeQ9U6P3IkSPz69FAvdy7EACNHTbeINCywNdff21jx44tOOMjjzxScFojTsjlco24W+xTHQjo5uitt97yOVUgvlu3bvlcF/pcPvTQQ/l5kgMPP/xwclTJ76v1+3D00Uf7bWs/NKz1khBAoHoC+k5de+21TVZ4xRVXNBnHCAQaWaDQ+TJr+1wv+cyaG/mpvsD48eNtk002sZNOOqn6Ky9yjboX3WuvvSytcEefPn18AEyrKna+Ijdb09mq6drcPULaTtTqmqBa9wXRPOu38MILL7QNN9zQ/v73v/t7oeTv45dffulLBe+2226+sMjUqVOjq6jJcL3cuxAArcnhZ6WNLlAoUKInMa3xA9PovuwfAi0JzJ8/337zm9/42fRk8sgjj2xpET9d1eU/+uij1Hmr9fCiGr8Pqs6vJ7pKzz//vF122WWpeWYkAgiUJ6CSO2nn63HjxtmkSZPKWylLIYAAAgg0rMCcOXPswAMPtK222soHl9pyR//4xz+aglzRtNZaa9maa67p8xfGFztfmL8tXqvtWs49Qi2vCapxXxCOy4IFC2yXXXaxH//4x6b9LCbddttttt1229mnn35azOxlz1Mv9y60AVr2IWbB9ixQ6IesWgGULNsOHDjQdtppp3wW11577fwwAwi0loCefH7wwQd+c8OHD/fVPYrZtp6Q6nv6ne98Jza7xj/66KOxceW+qcbvg4K6hx9+uJ188sk+G7///e/tiCOOMDXBQUIAgcoFVDqkUFIp0PPOO6/QZMYjUNcCXMfV9eEj820oMHnyZLvpppvaMAf/v+nXX3/9/9+4oT/96U++OajYSPem2PmSy7Xm+2q7lnOPUMtrgmrcF4TjccEFF9iDDz4Y3vrX5ZZbzvbdd19fIrRLly72wgsv+IITCiyH9Oabb9pRRx1lySa9wvTwuvPOO5sC6cUkBdujqV7uXbiTih41hhFoRkDVa8OTljfeeMPee+89GzJkSGyJ6A9cdP7YTHX+Rh2y0ClLnR/EOs++TuhnnXVWfi900m8pRb+P+p4mA6Avvviiffzxx/nVROfPj2xmIDp/tX4ftF8hAKqSanqCq7Z+SAggUJmASoHfc889+ZXooj1afewvf/mL6aFD165d8/MwgECjCHAd1yhHkv1ozwLJ0nzbb799Kkex86UuXIcjy7lHqMU1QS3uC6ZNm5av/RYOjQKW119/vanvg5C+/e1v++YZvvGNb/iOkcL4v/71r3bmmWfa4MGDw6gmrwcccICpP5NyUz3cuxAALffosly7E9h8881jJcQURDn00EPzDmrj45///Gf+fXL+/ISUATX4rDZa3n77bV+qTVUa1IC1ntLrhFaoZ2sFYfVjGNI666xjiy++uKkNlccee8xUOlM/fj179gyz+FcFclWtdsKECb76hKpyqKHkzp07m3qRe/XVV/PzDxgwIPZDqSBRtL2ZpZZayjfAnV/ADWjdX331lR/VvXt3nw+90XafffZZnz/laaONNvJPq5Tn5tL7779vjz/+uLdRD4bq5VA+Wl5t8Cy2WG1a81AgK9rhlbal9Pnnn/uOadQ5jZ66yS9UVw77oXmefPJJ/7fCCivY1ltvbcsvv3yYXPBVjXa/8sor3lDOq6++uq233nr+tZjSf+VaVfuY6WJCx/rdd9/11UzVQdGyyy7r90ONdFeS9PRz1qxZfhUKXKjB75ZS9PsYfVARlkuW3o7OH+Zp7jU5fzV+H/S5WXfddU3BWSU90SYA2txRYBoCxQlcd911pt/akHTBHs4xGqffl3/84x++I7IwT/RVv9HRDib0XS10nk6eU3We3WCDDaKr88M6tz333HP+t1+BV/3u669fv35N5g0jyr0GKPeaI2xXr//5z3/8NYQs1OuwznE6HyqpxFG05ImuLwqdp8vZb7+RZv61xbm7nHOvrhvVc3NIuq7RtYSu61QdU59DVXVMlrLR/LW8jtMx0fENSZ149u3b17/VeH1X1P62rjl1bJOFAcJy0ddyfKLLV2P4iy++8M1bqCkclTjTPum6TNdw6kSmmKR1qC1xXa/reljHSw4qMVXogYmuB7XNkHRtrz8lOarZDT3k1HXEZpttZrpujiaV3NI1vY7Llltu6a97C103az3Rpj2GDh2a7yBS31XVdNH1+aabbuqvvxWkKSapiS9d006ZMsXfZ+jaRPutzkabS9W+ttS2yvnNqPQzHb6r0fsj5UXfw2eeeUaD/jNUzHW+nznyr5T90ecvXBNqOJr03dT5RknHPTTl0tx8OhfpnBRNpeQnulx0WJ9Bfeb1pwCsXNQxjz6/um4PqRau5dwjVHpNEPYn+lqL+4Jf/OIX9tlnn+U3o3v0O+64I/W3R/fnd911l++EOXq9o4e/Kglaq1QX9y7uiTcJAQRSBFywQb375P9cSaycC7zl37snJLGl3AkwP03LufYJY+/dRVJs/vDGPbXJuR+L2LzR7boTRe5nP/tZzt2whEXyr8cdd1xsOVfkPbfnnnvGxrmi8DkXSMsv44K0OXfhFZtH23MX3rl//etfORc8jU376U9/ml9WA1deeWVs+ve+973YdL1xN2z5edwNnJ8uT+Ulum8adhfWOXfT12QdGuEuLnP77LNPrmPHjk2WC+txvR/m3AVJ6vLJ/XQXrKnzFRrpAmux7boTSO7Pf/5zzl14xsYrL66R6ZwLXPtVueoFOXch3GQed2GbcyeuQpvLuYBqzvXG12Q5rd89rcu5C+CCy1ZqVa1j5gLGueOPPz51/8MxcxdBOVeaseC+tDRBn6mwLheUTp09uj+a94wzzsgvo/fuBj22nOs9Mz/dBWpzriHv/HvN73qGjs3fWr8PrkfKWD7czVIsH7xBAIHSBfQbFH5D9Op6yM3pHB8d54IiBVd8wgknxOZ1JcoLznvuuefG5t17771j8+q8ofXpXB/dfhh27RvnXAAltkx4U841QCXXHNqu8vLDH/4wNa+6LtL+uGZyYtNdsDhkOf9ayX7nV1JgoDXP3ZWce3W+DMdZr7re0TWae0AcGy/vaKr1dVzy/Hb77bfnXEAj54KdsXwpz+Ea1QXVolnMD1fiU8z1Zn5DLQy4Bxo5V0KqSf61D7qmc03M5HQ8CiUX6Mrpeth1LpO6Dt0fuCrIqdfqusaNHudTTz0154JMOffQIDZe87iAZM49QPXZmDlzZs6129dkHuU3eU0S8p28ZtB1/dNPP5163e8eWDR7Xal1umB3zgVymuQh7I/rdTzX3HVJ9FqskvsB5aWS34xKP9PugU5Bg2Dxox/9SNksOpWzPy4Q3WI+lB/9RoR8NffqAtr5/JaTn/zC/xvQ9909qC+4bVcwJ3fnnXfmF6uFazH3CPkM/G+g0msCrSb5Gat23EC/sa4gTMzWNdWT3JUm75UP/bnAZ+pvnO6jo58R3edWmpK/Q839RlS6rXKWV5UfEgIIpAgkf8h0wRK9qHelPWIXOr/73e9iPyDuiW7sfVoA1FWzK3jTE/0x0nDaDVby5kc3VsnldLIJ6fLLL8+5UhhN5gnL6KLqxBNPjE2vNACq7SfzGbYXXrVdV5IlZNO/6qTonkzG8hLmT77qglQXeMlU7QDoT37yk2bz861vfSunz0kyf9H3u+66a06B1GS66KKLmpzYostpWIFgfc6SqRpW0YvUco+Ze5Kb22GHHZrd/7BP2pdbbrkluSstvv/www9j63eNgKcuE90fbVPB47BtvV588cX55VyD4rEbTld1JKcL2ej8yZuN1vh9UAZ1wRLNh2ubMJ9vBhBAoHSB5G+BK/nlf5Nd6ajYd03fO41LS8mbUFdiK+dKuaTNmnOlpGLrfeCBB/LzuZJ+ufXXXz82Pfp9D8OudFku7QFe8tza0jVApdccOtcoLyFfaa+uTeacHvZFpyUDoJXudx6wwEAyAFqrc3el595kAFRBd11bRu00rOBdSK1xHZc8v40aNSrnSvo1yVc0n3pomEyV+lQrAKoH9dG8Fhp2tVNyyc+q9knB32K+p1qvAoL6fEdTMgDqeu5utuCDfk+uvfbanO4bCuVVBQoU5EqmZODh9NNPz7kaOAXXo4DKNddck1yNf+9K0rV4Xar8Kfjr2k9MXUf0Wqzca0utuNLfjEo/0/osFzoWYXwpAdBy9yd57gnbTr6WGgAtNz/Rg64CNGm/X8m86fo//KZV27XYe4RovqtxTaD1JT9j1Y4buFLrTT6DepBSaapFADTr9y4EQCv91LB8wwqk/ZC5NsFiPz4TJ07M77+rqp6f5oqk+6e70R/9ZABUJQF79+6dX0bzuurOOdfxSU4lPnShEF1ew/rxi6bkzU9yfr1XnpVcleQmF0Havp7UqXSBSmKmLV9pADS6TgU0tX+uulyTbakETDQlS9DqAstVBfOlC111xSYlDNMCxNUOgGpfVNph44039qUF0vYj7K88dRzTSky4BtSju+qPa7J07IYbbuiDcAqYRksGaVglfaOpGlbRi9SwD3ot5ZjpIjq57B/+8Iecq1qS+/nPf97kBkLfE1c1J7orLQ7ryWR0G1p/Wkruj0pvREtwK1gdUvJhhetxvawAaDV/H0Le9BsT3V8FZ0kIIFC+QDIYohLrISV/r3WOLZSSJbOuvvrqJrMmAx8rrrhi7MHpIYccEvt+q+SfvuM6T7oqg7FpCpokUynXANW45lBtlOjvkYZdUzS+xLzOVcnzWJg3GVSqdL+TDsn3yQCo8lGLc3el595kADR4RV91nabzl1JrXcclr39DfpQXfT732GOPnIJ0YbxeVetF+YumSn2qEQBViedoPjWs0l4qbauaNclpxx57bHQXcnqwq6Bmcj5Xfd4H+lV7Kjlt5MiRsXUkfwfC/FpW1666HlFBgDA++ipXfZ5dm3yxaxjNo/1IpmQANKxL+VVNF5U6TX5Pe/Xq5e9Zouty1fxj155ajwpQuOYY/P1JsmaW3qsmXDIlr8VCfkq5ttQ6K/3NqPQzXe1AXbn7o9pLupaNXs8GU30nwzQF9cJwmB5eo/O5pin8ISs3P+F4qyCBq3Yf+wxrO7o3dj2DNwmk6/PuOjLNVdu12HuEkG+9VuuaIPkZUwC0mvcF9957b8xXvw3VSMkAqK5TdJ/b0p8KhRVKWb93IQBa6Mgxvt0LpP2QufZvYj8+qtqmpIvTaJVnVQNTNYBwstFrMgDq2uyIlTpzjRjHzHXRpeop0XW4xotj86Td/KhKsC5c9OPj2grJuTYY/TIKxkXXpR+8aJF0VX1IngA1fzUCoLpoUp5C0r65tklj+QlVY8I8rp2Y/MWXllc1nGi69NJLY8srGJlMtQiAKpgXkkr8uLavYvmQWbS6mkp7qlRB1D55U60bx+h0lVaJNnng2nDJW2g+3XxEUzWskhep5Ryz5OcnWWJJ3xNdILn2hnKu/ajcQQcdlHNttUV3pcXhH/zgBzGr5HcirCC5PzoO+o4FZ5UaDiVxTzvttPx4TdcFZjklQKv5+xD2w7UBF8ubgsYkBBAoT+CTTz7xVUzD74BeXRuM+ZUlz/sKGoTgU36m/w3cfPPNse+mgiTJpBLq0W399re/zc+iYEH04ZZKokYfcipgGQ2yal4FUqKplGuASq85XPtyTYI0+u2MJjXjIrPoPms4GgCtxn5Ht5k2nBYArcW5u9Jzb6EAqOvkz38W9LBUn8mQWus6Lvk90DFUIENBjpBcu9lNahSpqnw0VepTaQBU12g6Z0Y/j/rMhusrvao2SHS6gkbRqvAqcRudrhKTZ599dn4d2l95JYOK0QfdaQFQlaSOfi9U2jK6HQ0rL9HmetRUR3KeaF6Vl7QAqI6dqtOHpN+8pEu0BK+ujZLBYQUsXVukYRX+3sK1IxrLjwpu6F4impLXYuVcW1bjN6Nan2nlJXoMdBxLTdXYH23TtfEYy4tKKqelluarRn5UGCHqoua8ouczff6S1cxPOeWUfHar4aqVFXuPEDZczWuC5GdMAdBq3heounvUOBlXCPtU6msyABrdRnPDalKkUMr6vQsB0EJHjvHtXiDth0ztb0TbZnI9aXontdcT/ZHQBVNLAVAtqIsvXVCoPcTwFC4KnwzCqGRaNCVvfnRh4Rocj86SH05WS9DNWzLphit5oqxGAFRtjySTAqJRM7W7mEy6eH3iiSdyeuqVTEnftOWrHQBVoDKZDjvssNh+6KIyelGr+ZNPABX4C0k3lVEHLZ9WKlKlf6LzucbNwyr8a6VWyYvUco5Zst0f3YSqdGUINCqjulhPXiDHdqSFN/rORR1U5SYtJfdHeUgeh9BsgqodhnXqoYNS8rtXTBX4av8+hP3STVDIn14r8Qvr5BWB9ihwySWXxL5LyZvXGTNmNAlkqNp4WtL3MNqmoAKU0fa2FSyKnk8VOFGJl5CSD4zUfmAyuc4uYvlNlgAv5RpA667kmiNpp5JgepiZTK6H2Vie9ZsVPSdWY7+T20y+TwZAa3HuDtus5NybFgCN1k4I2wivrXUdl7z+VRXqZLVu5UkBzui5KXmNqnkq8ak0AKogZDR/+syG4KfypqTPsKq3q9aNPpt//OMfY99TjY+uI1pi/L9r+O9/BXOi80WDE2kBUNdJZHRxfw8QXV7Dyks0Ka/JkrfRggyaNxkAVZuiaYGxa10V++j29FA4JD10j07TNtPWoetwlR6Nzpu8Vkpei5VzbVmN34xqfaarEairxv7oWEXPLzoGaceomPmqkZ9kcDOtcIL6R9B9ma7jVZvg7rvvDh85X3o4+jlKnpvzM7YwUOw9QlhN8ryW3G4p1wTJz5gCoNW8L0g+UC3UB0LYt2JfaxEA1bazfO9Sm66T3SeYhEAjCrgbGN9bZNg3V8XA3E2OJXuQdm1ghVmafXU3TOaekpm74M33COlKzZk7cZgLrPnX6ArcTUT0bZNh9a7tLuSajHeBTd9rYpjgAqXm2goLb/Ov6pndlS7Mv6/WgHoxTSb1EhdNyV4KNU09h2ufXLUdP6t60lRvma50RJN8tmQT3Va5w66ET5NF3cVdbJzy6y4WY+PcRUrsvfYjJPd0Pwz6V/eU3fewGRvp3mi90aQeOaOp2lblHLNkHtX7oHoGVs+2rpMoczf4vldbV1IimvWShtW7fDS5UgrRt80OJ7+X6qldnxsXCM0v50pc5YdLHaj270PYfnIf3U1HmMQrAgiUIOCqqcfmdg+jYu/1e+6CZbFxrt3d2PvwRr9j7sYxvFWBAnPVbfPvXWktczdP+ff6DXQPuPLvk7/96v05mdTLsn7bQwq9+ob3yVf9BqddA4T5KrnmcIGWsBr/6h7KpfbsfuCBB8bmS76pxX4nt5F8X4tzd9hGtc+97uFbWHXstS2v43RdktZLetav41wJtJihC4zHeqDWRF0Pq6dyVyrSXFDQXHNM+e+peq53wcvYOtQLc1pygb3Y90HfFx2ztKRrbdd0RGxS8lpSE13V4dg8yqsrYR0bF72ejE343xtdy7kHu00mffe737XotZgrCWeulJ6fT9du0eSq36euQ9e2rsZTdFZzTTTF3ifflHNtWYvfjEo+08l9KvV9Lfan1DxE5680P66AgeneNZrS7iVdcw+m75TOje5Bmb8viC5TjeFS7xGqeU2Qlv9q3he4B66xTST3NTaxgjeuRqXpXqilP/cArNmtZPnepVOzOWciAgg0EdAPwv333+/HK3jiqnzFAqDu6Za59h9jNz5NVhIZ4UoAmOsMxh588EFzpR1jgcrIbH5QFz/NJW03LSVPTK60pLlqyGmzmmt3LHV8JSOjN31hPe6pdBj0r7p5TEuuhJ/9/e9/94FPV63fdKJNSy3ZpC1T6rjkyUfLu3ZsYqtJ21f3FCw2T3RfXRXw2LRHH33UdHySyVXDjI3SRUQyVdMqbT9aOmYKJihY8Oqrr8ay5kqAmCvF6/9ciSVz1eDNlSw2XVSXetxcg9/5devCIi2f+RkSA7rh0I3H3Llz/RQFQHUR7J7Q5ufU97uSVO3fB+VFFxHRgLcM9DtDQgCB4gV0Y64gRzTp9yB5s588B7rmV/xvmis9Fl3UD7u2Ou2cc87xwU+NcKVFzZXA8tNcW2T+NfzTvNGU/O3Xgz7Xjl50Fj8cDXCk/e5HFyh0DRCdp9xrjmQA1DX/El1tfljBFv02FzpX12K/8xsvMFCLc3d0U9U89xY6hm15HVfoPNvSNUEwqqZPWGcxr8kAaKnnTVeiO7YZBfxcKdzYuPDGtY/qz8uuV20/Std5rhM1S3uwoWCnHkZEU/JaUtPS3Ju7noyuLwy79vzCYOxV31FdW0S/165Gmilvyc+aKxUXWzb6Jvm7+NJLL0UnNxlO26eWPke1+M1Iy4cy21JemuxQGSNqsT9lZCO/SKX50fck+nuvz5BrFi6//tYcKOUeoRbXBGn7Wq37AtdPSGz1rsMnf+2R/C2JzVTGG9dng78/K2PR2CJZvnchABo7VLxBoGWBZIBEwbnoTVVyenNr1I2VnkjrhiSZdGOmJ73hYkrTWwoWFbowC091wzYKBT81PXnyD8tU8pq2zuiT57R1Kyil0jWuClPaZB9Ei5aGackmdSUljkyW7NTiye0mL041T3Mnp+jx1bwqCZtWGlbToslVdcm/rYVVOcdMJT0VyHdV4U03PIWSjtuhhx7qS1soCNnSZyG6HgVTQ9L20gIGYXryNTyJDQ8wlMdk8CNZSjS5jpbeJ7//lfw+hG0lS94U8/kIy/KKAAL/FXC9FDehOOaYY5qMSxuhBzvnn39+k0mumqu59qzzD0EVQHBtfpmrDugf+IQFFCx0bRCHt/43Plo6VBOS7/MzRwZ0LndV75s8eAuzFLoGCNMrueYo9jpC50QFc6I3xGH7+u1K7mfyfZg3+trSfkfnTRuuxblb26nFubfQMSzWX/lKO39rfLmp0PpaOnfXwqeUfVCAIJrSgozR6cnh8LA0jC90bMJ0Bdqj13SuyYswKfaa9nlMu04s9XoytpH/vSl07DQ5WZo0fMZK2e/kw4VC+xzylpaf5j5HtfrNSMuH8thcXsI+VPJaq/0pN0/VyE+l37Ny8562XCn3CLW4JkjLU7XuC5IBUNVAVSnQtEIz0Xy49q99afQ999zTBg0aFJ1U0+Es37sQAK3poWfljSigUmSq8hSqtrg2isy1y5Pf1eQPXX5CYkClPVW9RSefkLSsqslts802vmSa60HTzjjjjDC5SbAtP+F/A4Uu7pLF0HWB4tpBSl2fa5MyudqK35dzQaEq+q59mPy29eRdgTXdbKrYvX5Yo8HH6HB+oSoPFLONYuaJZit54nKdA5lrsD46S+qwSi6GVAurco6Z8qMSFvps66GASjarqotKQaQlNWegajC//vWv0yanjlPQM1zgqMpWqUkBzhAAVSBBVd5C0oWBAhqVpGr9PkTzkGzeIa2qXHR+hhFAIC6g86xrfyw+soR3Ktmp36q0Ui1HHHFEPgCqVf7jH//wD+gU/AnJdcwQO19pPSox5nrADbOY1pMWGMnP8L8B7Uuhc32h8Vq00muO5HVEodKoCmgmf7PCPtRqv8P6C70Wc14uZp7k+mtx7i10DJP+rXkdV+71QC18kseguffJKvrJQE1zy2paspRgNLiZtmxyejJgEZYp9rNW7HxhvWmvhb6nmte16xpbJHiVst/F7nPYUKmfpVr9ZpSaj5D/Sl9rtT/l5qsa+Qmfm5AHlcIsdI8Z5qnVa7H3CLW8JkjuW7XuC1Q7QA9KorUI1eyOatQ1l1zni6aHs64NURs2bJipGQ81vVfrlLwOyNK9CwHQWh991t9wAqEU2ZgxY/y+KYgSTcWWINOPVjT4edRRR5lrjDm6qth0TWiptFuhC2eVPon+aOrGTO0ebr755rHt6YSlKthtnXRRFg1+6gStgFq0yl2ySnhLNm29T4W2n6yepACia/i+0OxNxmfVSid8/bneUv0TSpU80ndGQdFo6QKVAC0lAKrSBiFIr6efKj2dLMXQBCkyIvmAIvr9TU6LLFb0YLV+H6IbjAZJND7Zpmx0XoYRQKCpwK233mrlPDAJa9LvjEpzJ9sM1XSVqtADudAel+sJO9YMiM5NKvGeTPrtj7aXp3lcpwbJ2Up6X+gaQCup9JojeZOrB1hpyXVwmDY6P64W+51feSsO1OLcq9o5aSUBtVtcx5V+cFUSO5qSbR2Gaa7zJtPnVlW9XU/mvs11PRBNmqvgg5qjURt5yaTrkmj73AqwFQqAJpet5fvob0x0O7oOiwZA9blznaH4WZLNgLiOf6KLxoaT09RucbVTln4zkt/PaDCq2P3O0v4oz5XmRw9nVKI23Jep9L+aVkg256HrbTX1ou9l+K6pfWaZVsNV+1LsPUItrwmUj2iq1n2BjOWnJsVCcj3D+8BmoXP/HXfc4YOfml+fVdf5Ws1LOYe8ZfneZbGQSV4RQKB4gUKBEp0E1KlRMSnZcVKyIXGtQz9U0RQtaRodH4YLVW3XD2OysWK1UxYtoaJ1qJOaaLXysN7Wfk3a7LTTTrHgp/KTvOhqyaa196HY7a233nqxkkEqpRNupMM6dNJS6VfXA7CpVPBtt92Wr0aYFSs98VWwUyWdXK/q/sJ/1qxZfhcUHFBJEFU3Ud6jKa35h+j05HCySkXSKjl/8n14Epscr/eFvtdp8zY3rtB6Svl9iK4/aqQqcaUEfKPrYRiB9iqQrOqmoKUeyjT3t/HGG8e4Lr/88tj78Ebn3WiAU+2hPfDAA2GyuV5pU6udRUvxa2bdkCWT1qNaD8cee6wpSKM2x5tLha4BtEzyXFHqNYfyEU1q7iT5wFSlP0MbqNF5o8O12O/o+ltrOOlZjeuU5o4f13GlH9lk25X6jkWDflqjHvxfeuml/tpE11f7779//vpSpcmSHWi53t5TM/LLX/4yNn7TTTf1beHGRrbBG7WdH2q9RDev37NoMxV6wKHCBkrq4Cya9PBHHUUlk+4XkiXrdf1X7ZSl34xkYYvkfVQx+56l/VF+K82Pgpdq2z+aLr744uhbP6yCLTpn6Fymc5pKJIbAZzVctZFi7xFqeU3QZMfdiGrdF6gpnmiwU6XaVZoz3G9Ft632eKPXJpqmhxy6JmmNlOV7F0qAtsYngG00nEChUp6FfuDSAKI/YJquti7DSUgXZPqRGzt2bGzRaInR2IQi3px00kn+Zi/Mqot35Ve9zava3T333GM33HBDmNymr0kblRLUk/XQ1pAuYJXvaKrEJrqe1h7WRaeCg7rAVFL17u9973t28803+97TNU4XC2G63stH1RnCsB/437+2slJ1TpVcjQYk1ZC2LoLCTZ0Cuf/85z+j2S25xNOGG27oP6thJdpeWmmMMD35qoss9UyvqvnJVOh7nZyvpfeF1lPK70PYhszCsdY4VV8JF4xhHl4RQKCwgL4///rXv2IzqKft5EPB2AzujaqkRx9C6uGUmvNIBlW0nIKJqiKv76tSeNVwsvMjjVM68cQTTR0lhXl1zlcJUJ0PlFRiVTeI6sglXAso32mdqvgFWviXPK+Wes2hpll0jRINhKg0yk9+8hNTsEfOKo3SXJVbZbG197sFlrInJz1b49zLdVxph0ufTz1kVhBQSSXQ1PSUen7WtYR6eL/wwgvtxRdfzK9YNSzUFFVIutaMXreohLceSKtaqZrM0QOP008/PdZevUp8qUBBVtKBBx7oO2hT4EO/N3/7299s1KhRsezpexySmuFSKb3QiZTuSXbYYQdfS02mqpqvByBHHnlkLIi6zz77+Ac2YT3Ves3Sb0YIEod90++dOv7UfZRKvOnz1lLK0v4or9XIj6pV77vvvvld1/dK3yV9RvR9UOGH5EMC9fMQUjVcta5i7hFa45og7Fd4rdZ9gX5zdB4YPXp0WLWvXbf++ut7f90j6MGG+jjQ71wyQK9lW2paQ78Pyc5s8xtLGdBx7dWrV2yKfmcyfe/iMkhCAIEUAffjrTuZ/N+pp56an8v9uORcO6D5aWE+92OTn8cF7GLT3Y9WfpoG3A1TbLrW4X64c+5kkXO9qDaZpunuAiW2Dtejdmw+VwIvNj36xl3A5NwFTGz+kO/oq6vyE5vHtS0SXU3OtXkam+6CdbHpeuPa+YjN49qqajKPKzEYm8cF0PLzvPvuuzkXqIpNl7c7Wfp9SE4L+XfVk/Lr0ICrTh5bh+vZMja9pTeug6rY8i4I2WSR0047LTaPuwhoMo8LZsbmcU/XY/O4Kko5V10qNo883A1nzgVIY+O1ryeccEJ++WpZVXrMlCF389skr64zr9zIkSNze+yxR86VpohNd4HRnDtJ5/elmAF3kxlbxzXXXJO6WHJ/9J0NSd+T8JkJr/rcR5MLNMTmcQ8HopNztf59CBtzFxCxfCS/j2E+XhFAIF1Av8nhe65XnV9djYH0mSNjdT5xJa5jy7qAZGSO+KDr5Cg2r7alc1D0tye+RC7nAilNlnEB1py7WWpyTtBvqev8LraKUq4BqnHN4aoJ51zgr0meo76u6nDOPaSJzePaAovlu9L9jq0s5U1rnLurce51JWRiTi6IkrI3/z+qta7jkuc3F8T//0xEho4++uhY/nUNEFI1fIq53gzbK/T62GOPxfIYPqsuKJM63gUum6zKPZRInVfXMGF90VcXEIitwwVaY/PpO56WouvQsAvYNpnNVauPrcsFb2PzuBLYsenRdeo6Ovmbpuku2JlzgZLYetzDnya/QZrXBU/8X3S9Gtb1nSucEFuH3iSvxUq9HwgrrPQ3oxqfaeXFBTlzhT47ymOxqdL90XZcgDF2rJPnh5CXYuarRn50z5L8XOh92j2bqy2Zc6UWQxar5lrMPUKtrgmSn7Fqxw0Cls6nrgm7VOs0/zDOPdQNq4i9ulKhJa8rrFOvaZ+7rN+7UAXeHTkSAqUKhFJkyeUKPeFJzqf3enqc7FFST6NV2k+N2+sJTfTpmJZJlmLRuGKTSo2plGeyaktYXtP/8Ic/NCmt0tKTorB8NV/V7pI7ccRWqbaXVFpGpSxU3V1ty6gkXzRV4hNdT2sP64mxSvhEO0TSk2SV0lW7UtGkJ6yqah5SlqyOP/54U6nPaFI7U6r2cuedd8aqaOjzdsEFFzRphza6bNqw2q0NJUo1PVoyI23+tHFpJTHTxqUtW8y4avw+hO1ES6ZoXEul1sJyvCKAgPmSEDpvRJNKQxVzXnMBR1/SK7qs2tEM7ZxFx2tYJUaTSdXP9HtQKGl9ydoMKmWq84HaOA5JHS+q1LoL3oZRJb9W45pDpcCUD+UnLakapEqeJPc56d2a+52Wz2qMa4tzL9dxpR85XSe6wES+endYg0pJJZNKq6lqbjKps8Ro6bYwPVm6SiXd1ASEezAeZmnzV5XKDG2h6jo62TGJ2p1XNXblPZpUkkxNBqgUXzSpNKj+okntfup6NVn9ODpPpcNZ+c1QSTf3sCt1d1oq/R5dKCv7E/JUjfy4Agm+/dywzvCabKJMzTjpfjTanFO1XFu6R9D3vrWuCcL+67Wa9wUqbaw2uNVJcvJ7G91mdFjXPWnNEkTnqeZw1u9dCIBW82izrnYlkAyYqNFwNSRdbFLwUz9gajcqmdQIu26AdNGlXsFDmjBhQr5KShhXyquqbKlou4Ksak9Sjbwrzwq06mSkovHJpDYH2yKpYxxVIerTp09s88qPLlDVsLsrCRmbpip99Zq22GIL39GT2qZLBsa1T2pbVp1kqWp88oSXJavf//73vr2pQheIuoFzJUJ9NUp1/FVq0ok/2iaXvielJlWRSVbXSH6fS11ncv7k+kr9fQjre/LJJ8Og/y4Ucs3PxAACCOQF1PFasufntI6M8gskBpLtZ6lNq2hzJNHZ9bsWDVAq6JcMbkbn17A6SnGl3Pw5Wef66MMdTddvvW5c1Glh8oGfppeSqnXNobZA1RzAySef7G921fyJHv6qSq3aVE32Vi6HZPXG1tzvUoxKnbctzr1cx5V6lMyOOeYYf82hz2my6QKtTd89VW1XW6BpSQF/XTvru6916DommvT51sNJna9LCUpE11GrYTURpDbz1bRG9NpRvzXhWkzBzrSkpgDUjqAebqddlyp4qjZRdW+iKri1TFn6zdDnJNnWqWz10KzYlKX9UZ6rkR89FNJ97VlnnWUDBgxoQqHvnpp1UfXqtKarquHa0j1Ca14TJAGqdV+g9SqgqocteuC46667xq49wnZ17lWTFbp+UBN3yQeTYb5avGb93qWDysDWYsdZJwIIFC+gGzT1TqmnZArORJ+KFb+W6sypH1SVFAlJbXrp4qetktr2fOONN8xVp/KNN+ukmSxN0lZ5q+V29ZnQEzRdlKzg2glVAK2l/c6alUqxvvfee75NOOU97EfyZrhUR92IqKOCkPT5ULs4jZj0MEQlwpRUwkwPL0gIINCYAir1qe+7ShLpAaU6LFCAsdqpltccuo6JBlqUf7Vn2lxqrf1uLg+VTMvauZfruMJHUyXA1LaleqlWUE/fsdC+fOGl4lPUJr3at9Orrj1UwjL6mY/P3brvFJRXZ04hqTZVeP/555/7YKWCn2rPt5RrseA2ZcoU/6BGNZdc9fawmVZ/zcJvhixefvllX/JVbUOnBdeLhcnC/kTzWo38zJw50wfQ1fauCtvoHkD3NC2lSl3b0z1C1FK/RyocpHOwfteK9Y6uo1rDWb93IQBarSPNehDIuICeAqmxdgXS9KcLtmij5yH7ru0sX2U5vL/33nv9E6TwnlcE2lpAF2YqZaSe55WuuOIK3wlJW+er2ttX8Fjf1ZD0RLXcDlDCOnhFAAEEyhFwbSn6B0/hGkKvqkmih7bRpKZ8Ntpoo/yojTfeON+rdn4kA2UJcB1XFlu7Wqi5AGi7gmBn261Ae7lHyOoBrod7l3iDH1mVJF8IIFCxgGs43fcU99prr+XXpae/BxxwgC9hMmnSJF8FSO01hqSqBOrdlYRAlgT0BFlVU9XrspLaqVIvzI2WVCUvJJW2IPgZNHhFAIHWFlA7fx999JG5jk58lTpt/9FHH/U9zWqamgdQ8DPZNI2qzJOqI8B1XHUcWQsCCDSuQHu5R8jqEayHexdKgGb100O+EKiygNrsUtuJycao1ZaRqm2oClcyjR492rfvkxzPewTaWmDGjBm+IyxVrVT1epVuVvtDjZSiVUgefPBB23HHHRtp99gXBBCoM4ERI0b4Np6T2e7WrVtq51CqWqzqxsm2vJPL8744Aa7jinNqz3NRArQ9H332PQi0h3uEsK9Ze62Hexc6Qcrap4b8IFAjATXQfu655zZpvF3NAKcFP7fffvvUKvI1yh6rRaAkAfVMqgt9JfVI2pq9G5aU0TJnVsmq0Panqj0S/CwTksUQQKBqAupIYdVVV22yvvnz5zcZp47m1GYxwc8mNGWP4DqubDoWRACBdiTQ6PcIWT2U9XLvQgnQrH6CyBcCNRJQFXgFQu+//35flU0NmyupJKh67dPNzYknnmhqC5SEQJYFvvrqK9OTxlDCSB2H9OjRI8tZLjpv6tXxvvvu8x0rqDOsoUOHFr0sMyKAAAK1ElD7ajfddJNdcskl/rdXnd2FpGZz1PGCHqCqI55SO5cJ6+G1eQGu45r3ac9T1Sb61VdfnSdQc0HqQJGEQHsTaOR7hKwey3q5dyEAmtVPEPlCoBUEVHJOvcbNnTvX9zhbSQ+GrZBdNoFAEwG1SafPsJJ6PdQNeCMklf5U6Wy109uoPdw3wnFiHxBo7wLqWVq9yi+xxBK+V+327tHa+891XGuLsz0EEKgXgUa9R8iqf73cuxAAzeoniHwhgAACCCCAAAIIIIAAAggggAACCCCAQMUCtAFaMSErQAABBBBAAAEEEEAAAQQQQAABBBBAAIGsChAAzeqRIV8IIIAAAggggAACCCCAAAIIIIAAAgggULEAAdCKCVkBAggggAACCCCAAAIIIIAAAggggAACCGRVgABoVo8M+UIAAQQQQAABBBBAAAEEEEAAAQQQQACBigUIgFZMyAoQQAABBBBAAAEEEEAAAQQQQAABBBBAIKsCBECzemTIFwIIIIAAAggggAACCCCAAAIIIIAAAghULEAAtGJCVoAAAggggAACCCCAAAIIIIAAAggggAACWRUgAJrVI0O+EEAAAQQQQAABBBBAAAEEEEAAAQQQQKBiAQKgFROyAgQQQAABBBBAAAEEEEAAAQQQQAABBBDIqgAB0KweGfKFAAIIIIAAAggggAACCCCAAAIIIIAAAhULEACtmJAVIIAAAggggAACCCCAAAIIIIAAAggggEBWBQiAZvXIkC8EEEAAAQQQQAABBBBAAAEEEEAAAQQQqFggUwHQ2bNn24033mjTp0+veMdYAQIIIIAAAggggED7ERgzZoyNHz++/ewwe4oAAggggAACCCBQtECmAqBF55oZEUAAAQQQQAABBBBAAAEEEEAAAQQQQACBIgQIgBaBxCwIIIAAAggggAACCCCAAAIIIIAAAgggUJ8Cneoz2+QaAQQQaH8CEyZMsKlTp/od33bbba1Pnz7tD4E9RgABBBBAAAEE6kxg0qRJNnnyZJ/rYcOG2cCBA+tsD8guAgggUP8ClACt/2PIHiCAAAIIIIAAAggggAACCCCAAAIIIIBAAQECoAVgGI0AAggggAACCCCAAAIIIIAAAggggAAC9S9AALT+jyF7gAACCCCAAAIIIIAAAggggAACCCCAAAIFBAiAFoBhNAIIIIAAAggggAACCCCAAAIIIIAAAgjUvwAB0Po/huwBAggggAACCCCAAAIIIIAAAggggAACCBQQIABaAIbRCCCAAAIIIIAAAggggAACCCCAAAIIIFD/AgRA6/8YsgcIIIAAAggggAACCCCAAAIIIIAAAgggUECAAGgBGEYjgAACCCCAAAIIIIAAAggggAACCCCAQP0LEACt/2PIHiCAAAIIIIAAAggggAACCCCAAAIIIIBAAQECoAVgGI0AAggggAACCCCAAAIIIIAAAggggAAC9S/Qqf53gT1AAAEE2ofACiusYEsvvbTf2e7du7ePnWYvEUAAAQQQQACBOhcYMGCAhWu3vn371vnekH0EEECgPgUIgNbncSPXCCDQDgWWWmop0x8JAQQQQAABBBBAoH4E+vTpY/ojIYAAAgi0nQBV4NvOni0jgAACCCCAAAIIIIAAAggggAACCCCAQI0FCIDWGJjVI4AAAggggAACCCCAAAIIIIAAAggggEDbCRAAbTt7towAAggggAACCCCAAAIIIIAAAggggAACNRYgAFpjYFaPAAIIIIAAAggggAACCCCAAAIIIIAAAm0nQAC07ezZMgIIIIAAAggggAACCCCAAAIIIIAAAgjUWIAAaI2BWT0CCCCAAAIIIIAAAggggAACCCCAAAIItJ0AAdC2s2fLCCCAAAIIIIAAAggggAACCCCAAAIIIFBjAQKgNQZm9QgggAACCCCAAAIIIIAAAggggAACCCDQdgIEQNvOni0jgAACCCCAAAIIIIAAAggggAACCCCAQI0FOtV4/aweAQQQQKBKAp999pktWLDAr613797WqRM/4VWiZTUIIIAAAggggEDNBD7//HObP3++X3/Pnj1t8cUXr9m2WDECCCCAQLoAd8/pLoxFAAEEMifw+uuv29SpU32+tt12W+vTp0/m8kiGEEAAAQQQQAABBOIC7777rk2ePNmPHDZsmA0cODA+A+8QQAABBGouQBX4mhOzAQQQQAABBBBAAAEEEEAAAQQQQAABBBBoKwECoG0lz3YRQAABBBBAAAEEEEAAAQQQQAABBBBAoOYCVIGvOTEbQAABBBBoDYF58+bZ+PHj7ZNPPqn65jp06FDVdWp9gwcPto033tiqve6qZpSVIYAAAggggAACCCCAAAINIEAAtAEOIruAAAIItHeB6667zo477jibM2dOXVGstdZadvPNN9s666xTV/kmswgggAACCCCAAAIIIIBAPQkQAK2no0VeEUAAAQSaCNxzzz12yCGH2P7772+/+MUvrH///rbYYtlu4SWXy9nEiRPthBNOsB133NFeeeUV69evX5N9YwQCCCCAAAIIIIAAAggggEDlAgRAKzdkDQgggAACbShwxhln2JZbbulLUtZTdfJll13WHnzwQVt11VXtsssus1/+8pdtqMimEUAAAQQQQAABBBBAAIHGFch2EZnGdWfPEEAAAQSqIKCSlM8995ztvffeddmW5qBBg2zTTTe1f//731XQYBUIIIAAAggggAACCCCAAAJpAgRA01QYhwACCCBQFwKLFi2yr7/+2rp161YX+U3LZPfu3e3LL79Mm8Q4BBBAAAEEEEAAAQQQQACBKggQAK0CIqtAAAEEEEAAAQQQQAABBBBAAAEEEEAAgWwK0AZoNo8LuUIAAQQQqKLAuHHjbOzYsTZr1izbYIMNbN999zWVvCwmPfPMM/biiy+mzrrtttv6NjyTEx977DG76qqrrEuXLv41OZ33CCCAAAIIIIAAAggggAACrSdAALT1rNkSAgggUJHA2muvbWussYZfRz1X+a4IoYyFTznlFPv9738fW/K8884z9R6vNjhbSmeddZbddtttqbP9+c9/bhIAnTZtmu2333720UcfWdeuXQmApsoxEgEEEEAAgfYjsPLKK9vgwYP9DuvagIQAAggg0PoCVIFvfXO2iAACCJQloAvmnj17+r+OHTuWtY72ttCECRPywU+V/PzOd75jsps4caKNGjWqKI4XXnihqPk004cffuhLlyr4SUIAAQQQQAABBCSgGiHhGq5TJ8og8alAAAEE2kKAAGhbqLNNBBBAAIFWETj33HP9dvr06WOPPPKI3XjjjXbwwQf7cRpuKVA5Z84ce+edd/z8l156qc2dOzf2d+CBB+b3Y/To0b406OOPP54fxwACCCCAAAIIIIAAAggggEDbCxAAbftjQA4QQAABBGok8NBDD/k1b7XVVta3b18/rPY/ldTzutrqbC6ppGgul/OzDBs2zDp37uzbDu3Ro4fpL1qK49RTT7V58+bZyJEjbfjw4c2tlmkIIIAAAggggAACCCCAAAKtKEAAtBWx2RQCCCCAQOsJKMA5c+ZMv8EhQ4bkNxwdVpX15lK0+vvRRx9tvXr1st69e9vee+/tq7tHl1199dVtzJgxdtddd9nAgQP9pA4dOkRnYRgBBBBAAAEEEEAAAQQQQKANBGiApA3Q2SQCCCCAQO0F1BlRSNEe36OdD3zwwQdhltTXaAD02Wef9fMosKpOkZ566il75ZVXTNXrlV566SVfQtS/4R8CCCCAAAIIIIAAAggggEBmBCgBmplDQUYQQAABBKop8Nlnn+VXF62qHh2OzpOfOTKgau4rrriiqQq9qsNPmTLFjjnmGD+HgqennXZafm5Vj0+mUH0+OZ73CCCAAAIIIIAAAggggAACrSdAALT1rNkSAggggEArCiy99NL5ranUZkhffPFFGLRlllkmP5w2cOGFF9rbb79t48aNs3XXXdcGDRpkZ599tnXr1s3PPnbs2LTFGIcAAggggAACCCCAAAIIIJAhAQKgGToYZAUBBBBAoHoCCoAutth/T3OffvppfsXR4eWWWy4/vtgBBT/XX399P/t7771X7GLMhwACCCCAAAIIIIAAAggg0EYCBEDbCJ7NIoAAAgjUVkDBT5XYVFJbnSFNmjQpDNoKK6yQH04OfP7553bCCSfY/vvvb3/4wx/yk1WaVNXhlZZffvn8eAYQQAABBBBAAAEEEEAAAQSyKUAANJvHhVwhgAACCFRB4OCDD/ZrUYdF999/v82ZM8fOP/98P05tew4fPtwPf/zxx3b44Yf7vwceeMCPU8dJ9957r/3tb3+z008/3dQJkoKf55xzjik4qrTPPvv4V/4hgAACCCCAAAIIIIAAAghkV4Be4LN7bMgZAgggEBP48MMPLXTaM2TIEIv2Zh6bkTd5gaOOOsouuOACU7X3ESNGWMeOHe3rr7/200888UT/Xm80/corr/TjV1llFdt555398JlnnumDnPPmzbNNNtnEevbsaXPnzvXT1ltvPTv++OP9MP8QQAABBBBAAIFCAjNmzLBZs2b5yQMGDLAlllii0KyMR6AhBfTlr5C1AABAAElEQVQdUA2qBQsWZH7/1LHpOuus02JfAZnfETLYRIAAaBMSRiCAAALZFJg6darpT6l///4EQIs4TLrJUOnPb3/72/biiy/64KdKdqr39tCbe3Or2Wuvveyvf/2r/fSnPzW196ngp9oA3X333e2qq67yAdHmlmcaAggggAACCCCgmiaTJ0/2ED169CAAykei3QgsXLjQTjrpJLv44otNw/WS1JTWoYceauoQlUIn9XLUWs4nAdCWjZgDAQQQQKCOBYYOHeqfOOvmQ3+rr756vuRn2K2VV17ZcrlceBt73W+//Wzfffe1Dz74wGbPnm1rrLGGderU/Onz+uuvN/2REEAAAQQQQAABBBBorwKqLXXZZZfZr371K1PBAhUkCJ2UZtXkiy++sLvvvttGjRplGuaaPqtHqvR8NX8HV/r6WAIBBBBAAIFWF1i0aFGL21Sv8PorJ3Xo0MEGDhzo/8pZnmUQQAABBBBAAAEEEGhPAio8oOCn2tL/5S9/WVe7vuaaa/qaXqoxduqpp/oCFHW1A2Q2VYBOkFJZGIkAAgggUA8CatNTVdpVsrNe07Rp06x37971mn3yjQACCCCAAAIIIIBAE4F///vfvvmpAw44oMm0ehihJrSUnnnmmXrILnksQoAAaBFIzIIAAgggkF0BdVh09dVX5zsXyG5Om+bs4Ycftueff9522mmnphMZgwACCCCAAAIIIIBAnQqEDo9UWKEekzo/Vfryyy/rMfvkOUWAKvApKIxCAAEEEKgfgd///ve2+eab20YbbWRHHnmkLbvsspnPvHqiV6dMl19+uW299dZ20EEHZT7PZBABBBBAAAEEEEAAAQQQqFcBAqD1euTINwIIIICAF1CnRk8++aTvYfLXv/61hafNWefp16+fHX300fab3/ymSadMWc87+UMAAQQQQAABBBBAoBoC48aNs7Fjx/raXBtssIHvfLTUUqOPPfaYXXXVVdalSxf/mpav6dOn25gxY+y5557z7Xt+85vftC233DJtVsY1qAAB0AY9sOwWAggg0J4EFARVb40qWTl//vzM77p6vyz1wi7zO0UGEUAAAQQQQAABBBAoQeCUU04x1eaKpvPOO8/uueceGzRoUHR0wWG1p7/ffvvZRx99ZF27dk0NgP7rX/+y/fff388TVvS73/3Ozj//fDvuuOPCKF4bXIAAaIMfYHYPAQQQaE8C6hQptNfTnvabfUUAAQQQQAABBBBAoJ4EJkyYkA9+quTn0KFD7ZZbbrGJEyfaqFGjfBv/Le3Phx9+mA9+FppXnaWOGDHCF5JQCVEFQp9++mmbPHmynXHGGfb973/fevXqVWhxxjeQAJ0gNdDBZFcQQAABBBBAAAEEEEAAAQQQQACBrAuce+65Pot9+vSxRx55xG688UY7+OCD/TgNq0Rnc2n06NG26qqr2uOPP97cbL6Up2qIqQaWqr//5S9/sQceeMCXFu3du7evFt/sCpjYMAIEQBvmULIjCCDQ6AKdO3e2xRdf3P/pBE5CAAEEEEAAAQQQyL5Ap06d8tdwqq1CQgABs4ceesgzbLXVVta3b18/vO+++/pX9byudj2bS6eeeqrNmzfPRo4cacOHDy84q4KpSmrvc6211vLDK6ywgi8R+vbbb/sSoX4k/xpegCrwDX+I2UEEEGgUgfXWW8/0R0IAAQQQQAABBBCoHwGVUtMfCQEE/iugAOfMmTP9myFDhuRZosOq3t5cUh8AasNzl112sYMOOsjP2qFDh9giixYtsqlTp/pxq622ml122WV2++23+wcS6gTpiCOOsOQysRXwpqEECIA21OFkZxBAAAEEEEAAAQQQQAABBBBAAIHsCqjjopCiHYOqE6OQPvjggzCY+vrSSy+Zasg1l1SNfuHChX6Wf/zjH7F2RdWBqqrCKyBKah8C1KFsH8eZvUQAAQQQQAABBBBAAAEEEEAAAQTaXOCzzz7L50FNRIQUHY7OE6ZHX9OCn7lcLjqLzZ49O/9+zpw5duihh9pTTz1lP/zhD/34O+64w66//vr8PAw0tgAB0MY+vuwdAggggAACCCCAAAIIIIAAAgggkBmBpZdeOp8XVYcP6YsvvgiDtswyy+SHyx2IrqNbt2520UUX2aabbupfQ8nTW2+9tdzVs1ydCRAArbMDRnYRQAABBBBAAAEEEEAAAQQQQACBehVQADR06vrpp5/mdyM6vNxyy+XHlzvQr18/396nll9zzTVNQVClLl262CabbOKH33zzTf/Kv8YXIADa+MeYPUQAAQQQQAABBBBAAAEEEEAAAQQyIaDg56BBg3xeXnnllXyeJk2alB9WT+3VSKEDsokTJ9onn3ySX+Ubb7zhhwcMGJAfx0BjCxAAbezjy94hgAACCCCAAAIIIIAAAggggAACmRI4+OCDfX7UJuf9999vaqNTvborrbjiijZ8+HA//PHHH9vhhx/u/9RpUanpmGOO8YuoM6RTTjnFZs2aZX/5y1/yvcNvttlmpa6S+etUgABonR44so0AAggggAACCCCAAAIIIIAAAgjUo8BRRx1lvXr18lkfMWKEqbr6c88959+feOKJ1rFjRz+savFXXnml/1MpzlLTIYccYquttppf7NJLLzVVvw/B14EDB9rJJ59c6iqZv04FCIDW6YEj2wgggAACCCCAAAIIIIAAAggggEA9CqjquUp/rrvuuj77X3/9taljorPPPttCqc1q7Nfiiy/ut7PnnnuaeplftGiRX+32229vjz/+uC2xxBLV2AzrqAOBTnWQR7KIAAIIIIAAAggggAACCCCAAAIIIFAnArlcrsWcDh061FSqU9Xc9bf66qvnS36GhVdeeWVraV3XX3+96a9Q6tu3r91+++2mXuYnT55sal80lD4ttAzjG0+AAGjjHVP2CAEEEEAAAQQQQAABBBBAAAEEEGhzgZaCl8qgqqXrr9apa9eu+RKntd4W68+eAAHQ7B0TcoQAAgikCqinwhkzZvhpqirSo0eP1PkYiQACCCCAAAIIIJAdgSlTptj777/vM6S2CNXWIQmBRhcIVctnzpxp9djTukqkKoX9aPTj1R72jzZA28NRZh8RQKAhBNQz4vTp0/3fV1991RD7xE4ggAACCCCAAAKNLjB37tz8NZyq4JIQaA8C6l1dBTYuuOCCutxd5btz5862zTbb1GX+yXRTAUqANjVhDAIIIIAAAggggAACCCCAAAIIIIBAmQK9e/e20aNH2/HHH+8fAOyzzz7WrVu3MtfWeovpIcU999xjt9xyi51++ul1WXq19bTqa0sEQOvreJFbBBBAoOEEzjnnHHv66acbbr9ac4d+9KMf2Xbbbdeam2RbCCCAAAIIIIAAAgg0K3DcccdZnz597IwzzrC77rqr2XmzNHHw4MF2ySWX2FFHHZWlbJGXCgUIgFYIyOIIIIAAApUJjB8/3vfKWNla2vfSu+66a/sGYO8RQAABBBBAAAEEMilw8MEHm/5mz55tX375ZSbzGM1Uly5dbMkll4yOYrhBBAiANsiBZDcQQAABBKorsNhii1n//v1N1XcWLlxos2bN8hdu1d0Ka0MAAQQQQAABBBBAoPEF+vbt2/g7yR5mWoAAaKYPD5lDAAEE6l/gvvvus+uuu67gjjzzzDMFp7XFBAU9v/nNb9r666/vG26P5mHatGn21FNP2cMPP5ypJ9iXXnqpjRkzJprV2PCFF17og7mxkbxBAAEEEEAAAQQQQAABBNqJAAHQdnKg2U0EEECgrQQ++eQTe+uttwpuft68eQWntfYEVSUfOXKkdezY0UIJ0J49e9rXX39tc+bM8dnZc889bfvtt7crrrjCXnvttdbOYur2pk+f7vOYOtGNXLBgQaFJjEcAAQQQQAABBBBAAAEEGl6AAGjDH2J2EAEEEECgGIFDDjnEttxyS+vUqZMv/bnmmmua2gCKpk8//dSee+45e/PNN+2EE06wK6+80iZMmBCdhWEEEEAAAQQQQAABBBBAAIGMCRAAzdgBITsIIIBAFgUuuugie/XVV8vK2htvvGHvvfdewWXnz59fcFprTdh555198LNHjx62yy67WKE2inr16uV7W19uueXsscces0MPPdQ++ugjmzJlSmtlNXU7M2fOtOZK0p5yyimmkqzlpG9/+9u2zTbblLMoyyCAAAIIIIAAAggggAACmRBYLBO5IBMIIIAAApkWWLRoka9irargpf5p2Vwu1+xfW+68OjnafffdfZX3nXbaqWDwM5rH1VZbzTbZZBPr3LmzKUCYhdSccaXHLwv7Rx4QQAABBBBAAAEEEEAAgXIFKAFarhzLIYAAAq0soFKJCnIpKfBGqo6A2vNUVfe1117b+vXrV/RK11lnHVPpVgVDV1555WbbOS16pcyIAAIIIIAAAg0nsMQSS5hqjyh169at4faPHUIAAQTqQYAAaD0cJfKIAAIIOAEF2fRHqq7ABhts4Fc4dOjQklbcoUMHW2ONNezJJ580raO5jp5KWjEzI4AAAggggEBDCQwaNMj0R0IAAQQQaDsBqsC3nT1bRgABBBBoYwF1eLTsssuaSmbor9QUSnMMHjy41EWZHwEEEEAAAQQQQAABBBBAoJUECIC2EjSbQQABBBDInoDa/1Tq3r17WZkLy6lzJBICCCCAAAIIIIAAAggggEA2BQiAZvO4kCsEEEAAgVYQ+OKLL/xWvvrqq7K2FpYL6ylrJSyEAAIIIIAAAggggAACCCBQUwECoDXlZeUIIIAAAlkWmDdvnil4OWfOHFu4cGHJWZ01a5ZfZubMmSUvywIIIIAAAggggAACCCCAAAKtI0AAtHWc2QoCCCCAQEYFXn75Zfv666/tvffeKzmHb7/9tl9G6yAhgAACCCCAAAIIIIAAAghkU4AAaDaPC7lCAAEEEGglgSeeeMJv6bnnnvOB0GI3q9Kfb775pqkU6QsvvFDsYsyHAAIIIIAAAggggAACCCDQygIEQFsZnM0hgAACCGRLQKU3J02aZJ988ok9/vjjlsvlWszg/Pnz7aGHHvLz3X333b4afYsLMQMCCCCAAAIIIIAAAggggECbCHRqk62yUQQQQACBuhL4xje+YRtssEFZeX744Ydt6tSpBZdVG5wLFiwoOL01Jlx99dV26qmn2htvvGFffvmlbbXVVgV7hp8+fbo9+uijNnfuXFOp0UceeaQ1stjsNnr06GGhR/u0Gffaay9beuml0ya1OG6VVVZpcR5mQAABBBBAAAEEEEAAAQSyLEAANMtHh7whgAACGRFYe+21y87JlClTrGfPngWX79Sp7U9F6gTpnHPOsWOPPdbn85ZbbjEF/gYNGmQKLqqNUM3zn//8x95//30/z7PPPmvXXnttwf1qzQldu3Zt1niTTTbx+9KaeWJbCCCAAAIIIIAAAggggEBWBNr+rjMrEuQDAQQQQKBdC3z00Uc2evRo22233UwlXl9//XX/l0SZPXu23XHHHTZ+/PjkJN4jgAACCCCAAAIIIIAAAghkUIAAaAYPCllCAAEE0gSef/75fFXyrbfeutkqz2nLt9W4HXbYwdZYY42Cmz/ppJNs7NixBae35gS17fn3v//d7r33Xlt33XVtxRVX9M4LFy40dXqktkInT55cUmdJrZH/Qw45xEaOHFlwU/379y84jQkIIIAAAgggUFsBPVRVMztKG220kQ0YMKC2G2TtCFRZQM1VjRs3rsprbdzVbbbZZr4WWePuYX3uGQHQ+jxu5BoBBNqhgKph60+pmI56skKk4FtzAbg+ffpkJav5fHz++ef21FNP+b/8yAwPLL/88rbhhhtmOIdkDQEEEEAAgfYrsGjRovw1nIZJCNSbwIwZM0yFGkjFCaiT1bXWWqu4mZmr1QToBb7VqNkQAggggAACCCCAAAIIIIAAAggggAACCLS2ACVAW1uc7SGAAAIIxATUkdCll14aG8eb0gSa6wG+tDUxNwIIIIAAAggggEB7FPjggw/s8ccfT911tYGfhdSxY0dbb731/N+yyy7rOwGdN2+eqS3/F1980V544QX76quv2jyrDzzwgL3yyiup+VDnpCussELqNEbWVoAAaG19WTsCCCCAQAsCCt4RwGsBickIIIAAAggggAACCNRQQO3Unn322albyEJQcYMNNrD99tvPllpqqSZ5VLv9andTgdpbb73Vnn766SbztOaIq6++2rp165a6yVGjRhEATZWp/UgCoLU3ZgsIIIAAAggggAACCCCAAAIIIIAAAmUI7Lnnnrbrrrv6JQcNGmSrrbaaLbPMMta1a1f78ssvbfr06fmOxg477DBbaaWV7Oabby5jSyzSyAIEQBv56LJvCCCAAAIIIIAAAggggAACCCDQbgRU9fqll14qeX8nTZpks2bNSl0udMSaOrHGI3fccUcf/OzcubMNHz7chgwZEtti9+7dfYlKVSv/8MMP7eGHH7ZvfOMbNn/+fLvjjjti87bWm08//dRvP21748aNM1XbLzWtvvrqplKwpPIFCICWb8eSCCCAAAIIIIAAAggggAACCCCAQGYE3nnnHRs7dmzJ+VHw8LPPPktdbtGiRanjaz1yueWWs3322ccWW2wxHwRNq/4ezcOAAQNs5MiRduedd/r5FQh+6623orO0yrACnGqvNC2prdI5c+akTWp2nAwIgDZL1OJEeoFvkYgZEEAAAQQQQAABBBBAAAEEEEAAAQRaU0BV3xX4U8dBLQU/Q7769Oljm2++uX/7rW99K4zmFQEjAMqHAAEEEEAAAQQQQAABBBBAAAEEEEAgMwLqRGjddde1xRdf3IYOHVpSvlZddVXfQ7zaClVAlISABAiA8jlAAAEEEEAAAQQQQAABBBBAAAEEEMiMgIKYqkY+ePDggtXJC2W2Q4cOtvzyy5te11hjjUKzMb6dCdAGaDs74OwuAgjUr4Aa/O7bt6/fAT0RJSGAAAIIIIAAAghkX0C9VXfp0sVntHfv3tnPMDlEIAMC4b6n3O9MWC6sJwO7RBbaWIAAaBsfADaPAAIIFCvQv39/0x8JAQQQQAABBBBAoH4EllxySdMfCQEEihcInQiF1+KX/O+cajtUqdzl/7sW/jeSAFXgG+losi8IIIAAAggggAACCCCAAAIIIIBAnQuEntIL9Uzf0u7NnTvXzxLW09L8TG98AQKgjX+M2UMEEEAAAQQQQAABBBBAAAEEEECgbgTefvttn9epU6eWlef333/fL/fWW2+VtTwLNZ4AAdDGO6bsEQIIIIAAAggggAACCCCAAAIIIFC3ArNnzzYFQT/99FN79913S9qPDz/80GbMmGHTpk2zDz74oKRlmblxBQiANu6xZc8QQAABBBBAAAEEEEAAAQQQQACBuhS4++67fb7Hjx9v8+fPL2ofFixYYI8//rifNyxf1ILM1PACdILU8IeYHUQAAQQQQAABBBBAAAEEEEAAgfYgoN7PBw8eXPKufv3119alS5fU5RYtWpQ6vtYjX375ZXvqqadss802szFjxthOO+1kPXv2LLjZzz//3B566CFTu58TJ060Z555puC8tZzQuXNn69QpPdy21FJLlXV86M2+8iOWfkQqXy9rQAABBBBAAAEEEEAAAQQQQAABBBBoRYGtt97a9Fdq+te//mUvvPBC6mJfffWVr06eOrHGI6+77jrr1auXrbnmmnbrrbfaeuutZ6uuuqr16NEjv2UFPtXW5/PPP28qAarhK6+8Mj+9tQcU5OzWrVvqZvfff38bOXJk6jRG1laAAGhtfVk7AggggAACCCCAAAIIIIAAAggggEAZAgsXLrQLLrjA9tprL9thhx1swoQJ/k8lQbt27WpffPGFhR7fc7mcKZB7yy23mJYjIRAVIAAa1WAYAQQQQAABBBBAAAEEEEAAAQQQaGcC/fv3t5133jl1rxVgfPHFF1OntcZIVcH/xz/+YY899phtt912vhSogp3Kl15nzZrlq7wr+JmFTo+23HJLW3rppVNpBg4cmDqekbUX6OA+LLnab6a4LaiXr/vuu8923HFH05ePhAACCCDQvgRUZeWvf/2rldLQea2FOnToUOtNlLT+fv362R577GHbbLNNScsxMwKNLqC2wdTu2RZbbNHou8r+IYAAAggg0KoCCipmLXDXsWNH6969u6n6u9ovzVJS26VrrbVWlrJEXpwAJUD5GCCAAAJ1IqCTu9rfUVKVD530GylNmzbNP3XW0+XVV1/d72PWgo9Z8H7//fftj3/8ox1++OF22WWXGUZZOCrkAQEEEEAAgcICqqL75Zdf+hkUsFEHKSQEEKhMQEHPzz77rLKVsHS7EiAA2q4ONzuLAAL1LPDqq6/a1KlT/S5su+221qdPn3renSZ5P+yww3yVlaeffto22WSTJtMZ8V8BVdz405/+ZMcff7wNGzbMfvjDH0KDAAIIIIAAAhkWeOedd2zy5Mk+hzp3Z60kXYbpyFpGBNQJ0WmnnZaR3GQ/G9RozuYxIgCazeNCrhBAAIF2JaBqNffee69dfvnlBD9bOPIq8XncccfZgw8+aFdccQUB0Ba8mIwAAggggAACCCBQmYBqn40aNaqylbA0Am0ssFgbb5/NI4AAAgggYCoZobTxxhujUaSASskGtyIXYTYEEEAAAQQQQAABBBBAoF0KEABtl4ednUYAAQSyJaCeHZUarV3TWirLKmsNvtdyf1k3AggggAACCCCAAAIIIFCuAAHQcuVYDgEEEEAAAQQQQAABBBBAAAEEEEAAAQQyL0AboJk/RGQQAQQQQCAqoGrfTzzxhD377LP2/PPP2xJLLGFDhgyxffbZx7bffvvorAwjgAACCCCAAAIIIIAAAgggYARA+RAggAACCNSFgKp7jx492n7zm9/YwoULm+T5sssus+HDh9vdd99tPXr0aDKdEQgggAACCCCAAAIIIIAAAu1TgCrw7fO4s9cIIIBA3QmceuqpvvdJBT87derkS3seddRRtummm9pii/33dDZ27Fj7zne+U3f7RoYRQAABBBBAAAEEEEAAAQRqJ0AJ0NrZsmYEEEAAgSoJPPXUU3bWWWf5tQ0aNMhuv/12GzZsWH7tr776qu9B/vPPP7e77rrLJk2aZEOHDs1Pjw6oJGmhzpaamxZdRwjCRsc1N5zL5Ux/IVBbaN4vvvjCunbtWmgy4xFAAAEEEEAAAQQQQAABBMoQoARoGWgsggACCCDQugJXXHGFDyBqq+eff34s+Klxa665pmmek046yW644Qbr16+fRvt2QjVNf88884xttdVW1r17d9thhx1swYIFfp7XXnvNRowYYX379vVV5zfaaCO7+uqr/bToP/VUf+aZZ/rA6uKLL24DBw60/fff3z744IPobD4P2t73vvc9e/fdd22PPfawJZdc0nr37u23ozZMo+nRRx+1bbbZxnr16mXdunXzedhyyy3twQcfjM7GMAIIIIAAAggggAACCCCAQJkClAAtE47FEEAAAQRaT2DMmDF+YwoS7r333qkbPvDAA01/0aQSoSoNqnTAAQfY22+/7YcVzOzSpYs9/fTT9o1vfMM0n5JKaD733HN22GGH2UsvveSDrX6C+7fvvvvabbfd5t9qPgU+//a3v9kjjzxiKqG6yiqr+Gnvv/++36bWudlmm9m0adN8iVOVLr3//vttp512stdff91v68knn7Sdd97Zt2nauXNnW3HFFX3QdPz48b5TpxdffNFWWGEFv17+IYAAAggggAACCCCAAAIIlCdACdDy3FgKAQQQaHUBlSrcdttt/Z96Pm8vSSU1P/roI7+7K6+8cmy3P/74Y3vggQea/L3yyiux+fRGJS/POOMMu+iii3wpTVVJP+aYY3zwc8CAAb7E5fTp0+1HP/qRX1bzKVCppI6VQvDzyCOP9EFNtTeq5WbOnGmnnXaany/6T6U/1157bXvvvfdsxowZtvXWW/vJb775pimwqXTdddf54OdKK61kn332mQ/QTpkyxQdCdbwffvhhPx//EEAAAQQQQKB+BfSAM1zD9e/fv353hJwjgAACdSxACdA6PnhkHQEE2peAqm7rr70lldZUm51p7W6q5OXuu+/ehEQlOK+88srYeFVF/9WvfpUfp+DmhAkT/Ptvf/vbtuOOO/ph9TKv6vRfffWVXXvttb7a+0033eSnqfMl9USvKu3bbbedL3F6zjnn2M0332yXX355k97ntZ7Bgwf7ZZWncePG+WEFWpVUlV5JwVmVMN1tt918506hpKqfyD8EEEAAAQQQqGsBte9NG991fQjJPAIINIAAAdAGOIjsAgIIINDIArphWG+99ezf//63/ec//yl7V7fYYovYspMnT86/v++++/LBUI1UdXQFQFV6UynMqwDonnvu6cfpn0qgKilIO3XqVFtttdX8e/3TvCrxEZLaAA1JnR0p/eAHP/BBVpX+VClT/Smtvvrqftqxxx7LDZMX4R8CCCCAAAIIIIAAAgggUL4AVeDLt2NJBBBAAIFWElBbmkoKOE6cODG/1ZEjR/rgowKQL7/8cn582oA6OYqmuXPn5t/Onz/fV2VXdXb9qd1NVUEPpTWi84Z59Kq2QDWf/j799NP8+jQQlg0jFRBNpnXXXde3H6pAqEqVhqTSqSeffLJvtzSM4xUBBBBAAAEEEEAAAQQQQKA8gaZ3Y+Wth6UQQAABBBComYDaz7z44ov9+tXTu0psqpSmUocOHfzrnDlz/Guhf6G6eZge7Vzo+9//vp122mlhkg9mqsOlkDSvSoEq4Kne5Hv06OEnzZs3z/fcrvHJFPKVHJ98P2TIEN82qarLK7irNk0vvPBC38nSnXfe2SQvyeV5jwACCCCAAAIIIIAAAggg0LxA0zu25udnKgIIIIAAAq0usN9++9khhxzit6uOgbbccku79dZbfW/r6ln9Jz/5iW87s7mMqR3RaNpwww19J0Yad/311/ve1zV8xx13mKqrq+1OBSCV1Danknp2V3BSPbrrb5tttrGePXvaiBEjfBulfqYS/m266aamDq022GADH+jU689//nPfU7xWoyBvMnBbwuqZFQEEEEAAAQQQQAABBBBAwAlQApSPAQIIIIBA5gVUmvKqq64ylfK8/fbb7dlnn7V99tknNd+bb7657909dWJkpAKLv/vd7+zQQw/1va+rh3n12v7SSy/5uZZffvl84FMdGF122WX26quv2i9+8Qu75JJLLPROr7z9+Mc/9m1+RlZf1OARRxzhS5SqU6RBgwaZ8q4Okd566y2/vKrGEwAtipKZEEAAAQQQQAABBBBAAIGCApQALUjDBAQQQACBLAmoBKd6W1dVdVUbj6Zll13Wl8L8y1/+Yk888YTvNCk6vdCwSpXeddddttJKK/kSnaqC3r9/fzvooINMPb+HUqPdunXzbXUecMABvvr7lClTbMaMGaaOlRQYVQnQcpKCrzfccIOtuuqqpur0Kt2q4KdKharH+vPPP7+c1bIMAggggAACCCCAAAIIIIBARKBDzqXI+zYdnD17tm/Xbccdd/Q3oG2aGTaOAAIIINBqAuPGjfPVyRWAVMdAxSR1iKSe1xX81F+lSaVLp02b5ntyb679TnW4pCDl0ksvbX369Kl0s355nYpVCvTDDz+0fv362XLLLZcPvhbawG9/+1s799xzTedOEgIImI0ZM8Y3X6EHEyQEEEAAAQQQQAABBKICVIGPajCMAAIIINAmAiHgqHY1i00KQOqvWkntfuqvpaQOj1Ris5pJ+7/MMsv4v2LXq0BscCt2GeZDAAEEEEAAAQQQQKAcAbW7f9FFF/mOQXUdSooL6B5BtcrUxNW3vvWt+ETeZUKAAGgmDgOZQAABBNq3wMCBAz2A2thUR0CklgVeeeUVC24tz80cCCCAAAIIIIAAAgiUJ3D22Wfbz372M3+drhq7Xbp0KW9FDbyUCnI888wzttdee9kpp5xio0ePbuC9rc9dIwBan8eNXCOAQDsUUBXpuXPn+j1X4KuROsdZccUVfXuaavdyq622MnVARCosoJ7qb731Vt+JU+G5mIIAAggggAACWRCYNWuWffLJJz4ramu8Z8+eWcgWeUCgKIHXX3/ddwJ63HHH2XnnnUcNpBbURo0aZWeccYYvBTps2LAW5mZyawoQAG1NbbaFAAIIVCDw3nvv+TYvtYoll1yyoQKg2qc///nPNnz4cBs6dKhvD1QdAZHiAmorVB0w6emyOl464YQT4jPwDgEEEEAAAQQyJ/DRRx/5asPKmAIiBEAzd4jIUDMCt99+u7/v+N3vfkfwsxmnMEkFOi6++GJfWIEAaFDJxisB0GwcB3KBAAIItHsBtav54osv+raFxo8fb+rkiNRUYNCgQfajH/3Ivvvd75raGiIhgAACCCCAAAIIIFArAV2Tq8PR7t2712oTDbXeTp062ZAhQ3wHpw21Yw2wMwRAG+AgsgsIIIBAowioZOuvf/3rRtkd9gMBBBBAAAEEEEAAAQTamYA6KlXNLVK2BCg6kq3jQW4QQAABBBBAAAEEEEAAAQQQQAABBBBAoIoClACtIiarQgABBBBAAAEEEEAAAQQQQAABBNqbwIIFC+zxxx+3Z5991v+p7dvBgwfbuuuuaz/84Q+tX79+7Y2E/c2YAAHQjB0QsoMAAggggAACCCCAAAIIIIAAAgjUi8Arr7xi3/nOd3x7/sk833zzzfbb3/7WrrnmGttvv/2Sk3mPQKsJEABtNWo2hAACCCCAAAIIIIAAAggggAACCDSOwPvvv2/bbbedzZgxw+/UCiusYJtvvrnvrPOBBx7w4+fNm+c78Fx++eVt0003bZydZ0/qSoA2QOvqcJFZBBBAAAEEEEAAAQQQQAABBBBAIBsChx9+eD74+eMf/9hef/11u+mmm+yGG24wVYM/9NBDfUa/+uorO++885rN9Ndff506feHChanj00aWMq+WV2dFixYtSltVbNwXX3wRe8+b+hMgAFp/x4wcI4AAAggggAACCCCAAAIIIIAAAm0q8J///Mfuv/9+nwe19akAZ5cuXfJ5Wmyxxez88883BUnPOeccO/roo/PT1Fbommuu6f+eeeYZ22qrrax79+62ww47mNoTVVDyzDPPtKFDh9riiy9uAwcOtP33398++OCD/DrCQLHznnTSSX573/ve9+zdd9+1PfbYw5Zccknr3bu3jRgxwt55552wSv/66KOP2jbbbGO9evWybt26WY8ePWzLLbe0Bx98MDYfb+pDgCrw9XGcyCUCCCCAAAIIIIAAAggggAACCCCQGQFVcVcJSqVDDjnEV3tPZm6JJZawyy+/PDnaPv/8c5s0aZIff8ABB9jbb7/thxXMVBB17733tttuu82PUyBVgc+//e1v9sgjj9hTTz1lq6yySn6d++67b1Hzqrq+tqltb7bZZjZt2jTr2LGjqeSpArk77bSTL8Gq7T355JO28847m0qUdu7c2VZccUUfNB0/frzts88+vr1TVfcn1Y8AJUDr51iRUwQQaOcCOhHrBK2/Dh06tHMNdh8BBBBAAAEEEKgPAa7h6uM4kcvSBaZMmZJfaOWVV84Pa0ABRAVIk39ffvllbD69UcnLM844wy666CJTKc277747H9A88sgjfaBy7NixNmDAAJs5c6addtpp+XWUMm9YSKU/1157bXvvvfd89f2tt97aT3rzzTfzHTldd911Pvi50kor2WeffeYDtNpfBUJVcvXhhx8Oq+O1TgQoAVonB4psIoAAAhtuuKHpj4QAAggggAACCCBQPwKrr7666Y+EQKMJRAtldOoUDy8dc8wx9txzzzXZZZXCVHX2aFJV9F/96lf5USoRqqR1jh492ldT32677ezAAw/0VenVs7xKlapKutobLXZeP+P//l1xxRU2ePBg/+6www6zcePG+eHp06f7V1W7V1JwViVMd9ttN9t+++3zJVX9RP7VlUD8E1pXWSezCCCAAAIIIIAAAggggAACCCCAAAJtIRDt0V3tgZabtthii9iikydP9u8VAN1zzz3z0z7++GM/rGryU6dOtdVWW81KmTesSOtVSc6Q1AZoSKGzox/84Ad27bXX+tKfKmWqPyU9zNC0Y4891rp27RoW47UOBKgCXwcHiSwigAACCCCAAAIIIIAAAggggAACWRJQO5ohJauET5gwwXdkpGClSlA2l/r27RubPHfu3Px7VXkPf2pOInSc9Omnn/p5Spk3rDQZuEyWXtV86tRJbY0q2KmOkkJSL/cnn3yyhVKqYTyv2RegBGj2jxE5RAABBBBAAAEEEEAAAQQQQAABBDIlsNRSS9kaa6xhr732mt1+++2mdjqHDx/u8xiqx6uTpDlz5jSb71DdPMykzoVUslMBT/UQr6ruSvPmzfO9sWt8SKXMG5YJeQvvC70OGTLEt02q6vITJ0707ZleeOGFvkOmO++80xSEVQ/xpPoQ+P9PTX3kl1wigAACCCCAAAIIIIAAAggggAACCGRAQO1xhirku+yyi40aNcqeeOIJe+GFF+yaa66xYcOG2YMPPthsTtXJazSpvU0l9daugKN6adffNttsYz179rQRI0b4Doo0Tynzav5ik6r3qwf7DTbYwAc69frzn//c9xSvdahn+GTgtth1M1/bCBAAbRt3tooAAggggAACCCCAAAIIIIAAAgjUtcD6669v99xzjy+ZuWDBAl9icquttvKBQ1UfDx0hde/e3X7zm9/YMsss0+L+qlMiVXVX+sUvfuHb61THSVqX2uj88Y9/7DtI0vRS5tX8xaYjjjjCz6pOkQYNGmQ77rijrbLKKvbnP//Zj9e+EQAtVjMb8xEAzcZxIBcIIIAAAggggAACCCCAAAIIIIBA3Qko4Kk2QHffffd8YFI7oVKSCpAeddRRvpr8qaeeGpteaEe7devm299UO5uq/j5lyhSbMWOGqbOkyy67zJcADcuWMm9YppjXQw891G644QZbddVVfdV77d9bb73lS4Wqx/rzzz+/mNUwT4YEOrj2GHJZyc/s2bPtvvvu85H1/v37ZyVb5AMBBBBAAAEEEEAg4wJjxozxVfCSPclmPNtkDwEEEEAAgUwLnHjiiXbHHXfY22+/XVQ+VULz/ffft/nz5/se07v8H3v3AR9VlTZ+/AkJAUICIfQEQu9NJaIgC4uCgqzoKwpKVZfFhsoi6Ipr38W1IGVFXVF2xQVfAaX+QUVEUUT6giAQpAVCCb2XQPLf57zecRJmkslkyp2Z3/l8JnPn3nPPPed7o9w8c0psrEfnucukiyhp4LFy5cqSmJjoLpvZX5S8BRbkdFBDZtoLdN++fVKxYkVJTk6W/EP2nbKbzdatW0urVq3MFAD5j/E5eAIsghQ8e66MAAIIIIAAAggggAACCCCAAAII2FZAg33Z2dke109XWNeh4r5KuuCR9sL0JBUlryflaR5dMEmH7XsydN8qU70KC5JaeXkPnABD4ANnzZUQQAABBBBAAAEEEEAAAQQQQACBkBHQVd4zMzNNL8yQqXQQK7p//37ZsmWLqBvJXgIEQO11P6gNAggggAACCCCAAAIIIIAAAgggYAuBXr16md6Pd9xxhwns2aJSNq3Ejh07pGfPnmbe0gEDBti0lpFbLYbAR+69p+UIIBBiAjr3zZEjR0ytdVVEnRCchAACCCCAAAIIIGBvAe09t3fvXlPJevXqSVJSkr0rTO0QcBJISEiQuXPnyq233mp6NVaqVMmjhYycioiIzYsXL5qFmnSuUp0zVd9J9hIgAGqv+0FtEEAAAbcCulCc9fDs6Tw4bgvjAAIIIIAAAggggEBABE6cOOF4htMFVEgIhJpAWlqapKeny8yZM827LjZEyiug84/WrVtXbr/9dilXrlzeg3yyhQABUFvcBiqBAAIIIIAAAggggAACCCCAAAII2FNAR5/169fPnpWjVgh4IMAcoB4gkQUBBBBAAAEEEEAAAQQQQAABBBBAAAEEQlOAAGho3jdqjQACCCCAAAIIIIAAAggggAACCCCAAAIeCBAA9QCJLAgggAACCCCAAAIIIIAAAggggAACCCAQmgIEQEPzvlFrBBBAAAEEEEAAAQQQQAABBBBAAAEEEPBAgACoB0hkQQABBBBAAAEEEEAAAQQQQAABBBBAAIHQFCAAGpr3jVojgAACCCCAAAIIIIAAAggggAACCCCAgAcCBEA9QCILAggggAACCCCAAAIIIIAAAggggAACCISmQExoVptaI4AAAgggYA+BU6dOyZw5c2T79u2Sk5Pj00pFRUX5tDwtLD4+Xm644QZp2bKlz8umQAQQQAABBBBAAAEEEEDAjgIEQO14V6gTAggg4EKgfPnykp2dbY6ULFnSRQ52BVrgu+++kzvuuEMOHDhgAouhcF80YKu/R/fff7+89dZbUqIEg0EC/XvD9RBAAAEEIkugbNmyUqVKFdPo0qVLR1bjaS0CCCBgEwECoDa5EVQDAQQQKEygQYMGoi+SPQQOHjwoPXr0kIYNG8qSJUvMuz1qVnAtzp8/LxMmTJDhw4dLamqqjBw5suATOIoAAggggAACxRLQf2/1RUIAAQQQCJ4A3T6CZ8+VEUAAAQRCWOCDDz6Q06dPy8yZM0Mm+KncpUqVkmHDhsl9990n48aNk9zc3BC+C1QdAQQQQAABBBBAAAEEEChcgABo4UbkQAABBBBA4DKBTZs2SZMmTaR69eqXHQuFHToPaFZWlhw+fDgUqksdEUAAAQQQQAABBBBAAAGvBQiAek3HiQgggAACkSxw6dIlCYU5P93do9jYWHNI20FCAAEEEEAAAQQQQAABBMJZgABoON9d2oYAAggggAACCCCAAAIIIIAAAggggECEC7AIUoT/AtB8BBBAAAH/CRw7dkymT58u69evl+TkZLnxxhuldevWHl3w4sWL8q9//ctl3oSEBOndu7fjmPbiXLBggaxYsUJOnjwprVq1krvuuktYadZBxAYCCCCAAAIIIIAAAghEsAAB0Ai++TQdAQQQQMB/Aps3b5bu3bvL9u3bHRd55pln5PXXX5ehQ4c69rnb0DlG//CHP7g8XLt2bUcAVIOsvXr1koULF+bJ+9prr8ncuXOlbt26efbzAQEEEEAAAQQQQAABBBCINAGGwEfaHae9CCCAAAIBERg+fLgJfpYpU0YGDhwojRo1Eu2pqft37txZaB3+85//FJpHM/zlL38xwc+oqCjp2rWr3HbbbRIdHS0//fSTWendo0LIhAACCCCAAAIIIIAAAgiEsQAB0DC+uTQNAQQQQCA4Atr7c/78+ebiI0aMMEPZ9XNMTIwJgo4dO7bQilkB0Jo1a8qpU6fyvDS4qSknJ0emTp1qtnVIvA6Dnzlzptx6661m35IlS8yQePOBHwgggAACCCCAAAIIIIBAhAowBD5CbzzNRgABBBDwn8CXX34pubm55gI9evQw7zoUXef/XL58+WXD1V3VZO3atWZ3y5YtpWzZsnLu3LnL5vQsUaKE7NixQzTgWrFiRUcxFy5cMNuVKlUy5zoOsIEAAggggAACCCCAAAIIRKAAPUAj8KbTZAQQQAAB/wrs3bvXcYHU1NTLtvft2+fY527D6gH6448/Sq1atSQuLk4aNGggH3zwQZ5TSpUqZRY9qlGjhixbtkweffRRR+/TRx55RDRISkIAAQQQQAABBBBAAAEEIlmAHqCRfPdpOwIIhJTAunXrxAqctWvXTsqVKxdS9Y+kylr3SdusgUsrWauyHz161GWPTitfRkaGaB5Num2ln3/+We655x45cOCAPPHEE9Zux/uf/vQn0WHvmp588knRRZdICCCAAAIIIBBcga1bt8q2bdtMJa644gqpVq1acCvE1RFAAIEIFKBbSATedJqMAAKhKZCdnS3nz583L537kWRfgZMnTzoqp/N+Wsl52zmPddx6P3TokKSlpUnlypVl/PjxcvjwYbOiu67+run5558X516mZud/fyQkJJjeoPp53Lhx8sILL5g5R63jvCOAAAIIIIBA4AUuXrzoeIbTBRFJCCCAAAKBFyAAGnhzrogAAgggEOYCGri0kgatraTzeGrSQKjznJ3Wcev9qquukpUrV0pWVpboMPakpCT53e9+Z3p/ap6zZ8+auUSt/Nb7vHnzRIfOv/HGG6aHqQZKv/nmG+sw7wgggAACCCCAAAIIIIBARAoQAI3I206jEUAAAQT8KVC1alVH8SdOnLhsW497Mzdn27ZtHWU5D4137Pxl495775Xo6Gjzafr06fkP8xkBBBBAAAEEEEAAAQQQiCgBAqARdbtpLAIIIIBAIAR00SIrbdy40dqUTZs2mW1rKLvjQL6NOXPmyKBBg6R79+5mvk/r8IoVK6xNszDSzp07RVeZb9Wqlbz//vuOYzoHqTXEzrkHqiMDGwgggAACCCCAAAIIIIBABAkQAI2gm01TEUAAAQQCI9CzZ0+Jj483F3v11Vfl9OnT8uGHH8r27dvNvvvuu89RkUmTJsngwYNlyJAhjn2nTp0yAc358+fLyJEjRT9rIHXKlCkmjw6J79Spk6SkpJgh7uvXr5eXX37ZDH/XuUGfe+45R1m/+c1vHNtsIIAAAggggAACCCCAAAKRKEAANBLvOm1GAAEEEPCrQLly5eSBBx4w1/jqq6+kfPnyMmDAAPM5OTlZ+vbt67j+4sWLZeLEiaKBUCtpALVNmzbmo+7X1WJbtGghmzdvNkPnR48ebcosWbKkaIBVk64ue+WVV0pqaqpYw947duwoAwcONMf5gQACCCCAAAIIIIAAAghEqgAB0Ei987QbAQQQQMCvAhqYfOaZZyQuLs4xHP3qq6+Wb7/9VkqVKlXgtfX43LlzpX///ibgqT1Ic3NzpU6dOjJ79mzHYkhayP333296i1rzjurQdw2M6uJJuiiSN3ONFlg5DiKAAAIIIIAAAggggAACISZAADTEbhjVRQABBBAIDYGoqCh58cUXRRdB2rBhgxw6dEh0Ds+6devmaYAOjdfg5pkzZ/Lsr1KlikyePFlOnjwpOsT9wIEDZgi9rgafP+mQep33c+d/5wTVa2nAdPz48Y5h+Pnz8xkBBBBAAAEEEEAAAQQQiCSBmEhqLG1FAAEEEEDAlwI5OTmFFqersTdr1qzQfO4yaA9SHf5eWNKAq/PiS4Xl16ArCQEEEEAAAQQQQAABBBCIBAF6gEbCXaaNCCCAAAI+F6hUqZLs2bNHPAmC+vziPihwx44dEhMTI4mJiT4ojSIQQAABBBBAAAEEEEAAAfsKEAC1772hZggggEAeAV3xu0mTJuZVunTpPMf4EHgBXagoKytLXnnllcBfvJhX3L17t4wdO1a6d+9e6HykxbwUpyOAAAIIIBDxApUrV3Y8w+lCiSQEEEAAgcALMAQ+8OZcEQEEEPBKoHr16qIvkj0E2rZtK0OHDpWRI0fK559/LrrAkQ53t3PSYe86F+mnn35qFmcaN26cnatL3RBAAAEEEAgLAR01oi8SAggggEDwBAiABs+eKyOAAAIIhLjAmDFjpE2bNvLuu+/KtGnTQmI4fEJCgvTr10+efvppqVatWojfAaqPAAIIIIAAAggggAACCBQuQAC0cCNyIIAAAggg4Fbg7rvvFn2REEAAAQQQQAABBBBAAAEE7CnAHKD2vC/UCgEEEEAAAQQQQAABBBBAAAEEEEAAAQR8IEAA1AeIFIEAAggggAACCCCAAAIIIIAAAggggAAC9hQgAGrP+0KtEEAAAQQQQAABBBBAAAEEEEAAAQQQQMAHAgRAfYBIEQgggAACCCCAAAIIIIAAAggggAACCCBgTwECoPa8L9QKAQQQQAABBBBAAAEEEEAAAQQQQAABBHwgQADUB4gUgQACCCCAAAIIIIAAAggggAACCCCAAAL2FCAAas/7Qq0QQAABBBBAAAEEEEAAAQQQQAABBBBAwAcCMT4ogyIQQAABBAIgcO7cObl06ZK5UpkyZaRECb7DCgA7l0AAAQQQQAABBIolcOHCBcnOzjZllCpVSmJi+DO8WKCcjAACCHghwP95vUDjFAQQQCAYAhs2bJDMzExz6Y4dO0piYmIwqsE1EUAAAQQQQAABBIogsG3bNklPTzdnpKWlSUpKShHOJisCCCCAgC8E6D7kC0XKQAABBBBAAAEEEEAAAQQQQAABBBBAAAFbChAAteVtoVIIIIAAAggggAACCCCAAAIIIIAAAggg4AsBAqC+UKQMBBBAAAEEEEAAAQQQQAABBBBAAAEEELClAAFQW94WKoUAAggggAACCCCAAAIIIIAAAggggAACvhAgAOoLRcpAAAEEEEAAAQQQQAABBBBAAAEEEEAAAVsKEAC15W2hUggggAACCCCAAAIIIIAAAggggAACCCDgCwECoL5QpAwEEEAAAQQQQAABBBBAAAEEEEAAAQQQsKUAAVBb3hYqhQACCCCAAAIIIIAAAggggAACCCCAAAK+EIjxRSGUgQACCCCAQKgKvPvuuzJ+/PhQrX5Q6h0XFycrVqwIyrW5KAIIIIAAAggggAACCCBQVAECoEUVIz8CCCCAQFgJHDx4UDZu3BhWbfJ3Y+Lj4/19CcpHAAEEEEAAAQQQQAABBHwmQADUZ5QUhAACCPhXoFGjRlK7dm1zEQJQ/rUOZukxMTFSv359SUpKklKlSsnx48clIyNDDh06FMxqcW0EEEAAAQQQ8FKgVq1aUrlyZXN2QkKCl6VwGgIIIIBAcQQIgBZHj3MRQACBAAroAzMPzd6Bd+/eXbSnp6u0d+9eV7sDvq9ChQpyyy23SJs2bUzgM38FNAg6f/58Wb16df5DAf985swZU093F37hhRekW7du7g6zHwEEEEAAgYgS0Klj9EVCAAEEEAieAAHQ4NlzZQQQQACBAAnk5OSIvlyl3NxcV7sDui8tLU3uvfdeiY2NlejoaKlZs6ZoQFS3NdiYmZkpqamp8sADD8iPP/4oOm/puXPnAlrH/Bdz56n57GCav758RgABBBBAAAEEEEAAgcgVIAAaufeeliOAAAIhJaCBwNOnT3tV5wsXLsjFixddnltQIM/lCT7e2b59exk4cKAptVWrVqIvDYTmTxoE/f7776VFixYyYsQIeeWVV0TbFazkzlPro8P23fW4Lai+UVFRUqlSpYKycAwBBBBAAAEEEEAAAQQQKLIAAdAik3ECAggggEAwBBYvXixz5szx6tJbt26Vs2fPujxXA6vBSjqna79+/UQDf126dDG9PN3VJSUlRW699Vb54osvTBYNmk6cONFddr/u1x6eGpB1lyZPnixff/21u8Nu9+ucp+PHj3d7nAMIIIAAAggggAACCCCAgDcCJbw5iXMQQAABBBBAoPgCvXr1MsPc27ZtW2Dw07qS9gzt3LmzlC1b1szBWa9ePesQ7wgggAACCCCAAAIIIIAAAm4E6AHqBobdCCCAAAII+FNAV4Rt0KCBmeuzSZMmHl+qdOnSonOGfvPNNyYYum3bNo/PJSMCCCCAAAIIIIAAAuEksG/fPjNC6ujRoz5vlo7S8mXS8nRUV9euXU2HBl+WTVmFCxAALdyIHAgggAACCPhcQOf61KRB0KI+XNWpU0e+++47Mx+oLpR06dIln9ePAhFAAAEEEEAAAQQQsLPA6NGjZeTIkWZefH2eLlHC3oOcdRopXX+gcuXKMnXqVNOZwc6+4VY3e/92hJs27UEAAQQQQOAXgWrVqpmtqlWrFtkkJibGLBakc2bqavEkBBBAAAEEEEAAAQQiSWD69OkyfPhwGTRokBw4cMAEFnWRTju/tNPCTz/9JE2bNjVz++/YsSOSblnQ20oANOi3gAoggAACCESiQEJCgmm2Dmn3JpUpU8acFh8f783pnIMAAggggAACCCCAQMgKvPbaa9KpUyeZMGGCVKlSJWTaoVNfzZ49W7Qjw1tvvRUy9Q6HihIADYe7SBsQQAABBEJO4PTp06bO58+f96ru1nlW7yqe9AAAQABJREFUOV4VwkkIIIAAAggggAACCISgwI8//mjm0gzBqkv58uVFF0HVNpACJ8AcoIGz5koIIIBAsQQOHTokZ86cMWXo8GldEZwUugJZWVmm8gcPHizyt9Y6d5D+PmRnZ4s/JnwPXVVqjgACCCCAgP0Ejh07JidOnDAVq1SpksTFxdmvktQIgRAT0KHuofz3kPYAPX78eIiph3Z16QEa2veP2iOAQAQJ7Ny5U9auXWteViA0gpofdk1dt26dadPPP/9c5Lbt2rXLBD91DiF9+CMhgAACCCCAgH0FdJVq6xmOLy7te5+oGQIIhLcAPUDD+/7SOgQQQAABmwps27ZNMjIyTO00CFq/fn2PaqoBz1WrVpm8X3/9tUfnkAkBBBBAAAEEEEAAgUgT+Pbbb2Xx4sVy5MgRufLKK+XOO+8scg9sHXk1YsQI0VFbvXv3lu7du1/GuHXrVpk5c6bookYVK1Y0w9td5bvsRHYEVIAAaEC5uRgCCCCAAAK/CujqlcOGDRN9OCtXrlyhQ+F15Uh9iNPhMhs2bDCvX0tjCwEEEEAAAQQQQAABBFRg5MiR8vLLL+fBGDNmjMybN09q1KiRZ39BH1588UV54403TJZmzZpdFgB9//335aGHHpILFy7kKaZbt24yZ84ciYkh7JYHJogfuBNBxOfSCCCAAAKeC7Rr104aNmzo+QlOOTdv3my++XXa5djUuTiDNaWA1ku/Lb799tvNw9g111wjujJkiRKXz1Cj31x/9913ovXVb6Dfe+89RxsCvREVFSU6D6271LNnT+nYsaO7w273u2q328wcQAABBBBAAAEEEEDAhYCOlrKCn9rzU5+vP/74Y9EpqJ577jnRoKUnafLkyfLSSy+5zarTWwwZMsQEP5OTk6Vv376yevVq+eqrr2TBggXy5ptvytChQ92ez4HAChAADaw3V0MAAQQQ8FKgQoUKoi9vki424G619GB/K6sPR7qYkQ7JWbZsmXkwq1WrlmlryZIlTb0zMzNFH7A06dCaCRMmuG2PNz7enKMTt7tL+gDYoEEDd4fZjwACCCCAAAIIIICA3wRGjx5tyk5MTJRFixaZ5+rSpUvLpEmTZMqUKTJq1CipWrWq2+tv3LhR7r//flm6dKnbPHpg+fLlcu7cOZNHg6pdu3aV3NxcqV27tpnq6ptvviEAWqBgYA8SAA2sN1dDAAEEEEDgMoEvv/xStDeo9gTVoTWbNm26LI8Oe58/f77og5QOhSchgAACCCCAAAIIIIDA5QILFy40O9u3b+/oQKGdDTQAev78eVmyZInpfHD5mf+3Z8aMGSb4WalSJRk8eLAJmLrKq1/6W6ls2bJmU0dKabBVU1GG2psT+OFXAQKgfuWlcAQQQAABOwjokBd3QUP9hvivf/1r0Ku5Z88eGT9+vCQkJEjTpk3NBOqxsbFmvk9dLGn79u3mG+WgV/S/FShTpoxYD5au6mM9ALo6xj4EEEAAAQQQQAABBPwloAHOw4cPm+JTU1Mdl3HetkZWOQ7m24iOjjZD23X+T52GSnuMatLgpnNKS0uTq666StasWSOPPPKIPPjgg6ZXaHp6ugmC6pB4kn0ECIDa515QEwQQQAABPwnoAkPukgbz7JROnjxpHpzsVKf8ddGHP2+nI8hfFp8RQAABBBBAAAEEEPCVwP79+x1F6TRYVrJ6ZernvXv3Wrtdvj/55JOiU1Fp0gCou6Tz1+sc/TfccIOZyuqBBx4wWXX/Z599Jtdee627U9kfBAECoEFA55IIIIAAAvYR0AAowbyi3Y/4+PiinUBuBBBAAAEEEEAAAQQCIKCdCazkPNe/87ZzHiuv87sV/HTep9s6v2f+NG7cOEfnBZ1XVBcrzcnJkUcffVQ++eQTqV+/fv5T+BwkAQKgQYLnsggggAAC9hAYNmyY6IuEAAIIIIAAAggggAACoS1QuXJlRwN0OLyVrMWK9HNBCyBZ+T151/n5n3rqKZNVp9XSoKdOa9WpUydZv369/P73vzfz93tSFnn8L1DC/5fgCggggAACCCCAAAIIIIAAAggggAACCPhXQAOgOgRd04kTJxwXc952XrzIkcGLjS+++MKcVb58eTMHqPYyrf3fFeD79Olj9n///fdy7NgxL0rmFH8I0APUH6qUiQACCPhBQCfZbt26tSk5/wTcfrgcRSKAAAIIIIAAAgj4QKBJkybSuHFjUxLPcD4ApQgEChDQ4Keuvq6LiG7cuNGRc9OmTY5tDVL6ImVlZZlizpw5I6dPn5bExETz+dSpU+b94sWLotvWfl9ckzK8F6AHqPd2nIkAAggEXEAfmnlwDjg7F0QAAQQQQAABBIolwDNcsfg4GYEiCQwcONDk/+GHH8xiRMePH5exY8eafXXq1DFD1PWDztc5ePBg8/r888/N8aL80A4qmrKzs+Vvf/ubaCB0w4YNZu5P3V+lShUTjNVtUvAFCIAG/x5QAwQQQAABBBBAAAEEEEAAAQQQQAABHwg8+OCDUq5cOVNSt27dpGLFirJmzRrzWef+j46ONts6LH7ixInmtW7duiJf+Q9/+INoD29Nr7zyiplbtEWLFpKZmWn2vfrqq+adH/YQIABqj/tALRBAAAEEEEAAAQQQQAABBBBAAAEEiilQvXp10d6fLVu2NCVdunRJ4uLiRAOSQ4YMKWbpv56ekJAgCxYskNtvv93stIa+V6pUSf75z3+K1RP11zPYCqYAc4AGU59rI4AAAggggAACCCCAAAIIIIAAAgj4VEB7ZmqvTh3mrq9GjRo5en5aF6pXr57k5uZaH12+F5anVq1aZsj7yZMnZdu2bWa+T93HtGUuOYO6kwBoUPm5OAIIIIAAAggggAACCCCAAAIIIIBAUQVycnIKPUVXhdeXv5P2Br3iiis8vowGXgmSeszlk4wMgfcJI4UggAACCCCAAAIIIIAAAggggAACCARCICkpyTHXZiCu5+tr7N69W7QNpMAJEAANnDVXQgABBBBAAAEEEEAAAQQQQAABBBAopsCtt95q5tnUYeehlmbOnCmrV6+WHj16hFrVQ7q+DIEP6dtH5RFAAAEEEEAAAQQQQAABBBBAAIHIEvjLX/4iCxculNatW0u/fv0kOTnZ9gA6ZH/Dhg0yY8YMufnmm6VPnz62r3M4VZAAaDjdTdqCAAIIIIAAAggggAACCCCAAAIIhLlAlSpVZMWKFfL888/LvHnz5OjRo7Zvsc75WaNGDfnrX/8qw4YNkxIlGJQdyJtGADSQ2lwLAQQQQAABBBBAAAEEEEAAAQQQQKDYArq40YQJE8yr2IVRQNgLEAAN+1tMAxFAIFwEdu7c6fhms1GjRhIXFxcuTaMdCCCAAAIIIIBA2Ars27dP9u/fb9pXu3ZtqVChQti2lYYhgAACdhWgv61d7wz1QgABBPIJHDp0SDIyMszrwoUL+Y7yEQEEEEAAAQQQQMCOAseOHXM8w505c8aOVaROCCCAQNgLEAAN+1tMAxFAAAEEEEAAAQQQQAABBBBAAAEEEIhcAQKgkXvvaTkCCCCAAAIIIIAAAggggAACCCCAAAJhL0AANOxvMQ1EAAEEEEAAAQQQQAABBBBAAAEEEEAgcgVYBCly7z0tRwABBBBwEti9e7eMGTNGVq5cKefPn3c6ErzNqKio4F3c6cpaj+TkZOnbt6/07NnT6QibCCCAAAIIIIAAAggggID9BQiA2v8eUUMEEEAAAT8LaNDzxhtvFA30derUSeLi4sy2ny8bMsXn5ubKpk2b5I477pBBgwbJxIkTQ6buVBQBBBBAAAEEEEAAAQQQIADK7wACCCCAQEQL5OTkSL9+/aR27dry5ZdfSsWKFSPao6DGv/nmm/LII49It27d5Pbbby8oK8cQQAABBBBAAAEEEEAAAdsIMAeobW4FFUEAAQQQCIbA6tWrJT09XV555RWCn4XcgCFDhsgVV1whH330USE5OYwAAggggAACCCCAAAII2EeAAKh97gU1QQABBBAIgsC+ffvMVRs3bhyEq4feJdXJMgu92lNjBBBAAAEEEEAAAQQQiEQBAqCReNdpMwIIIIDAZQJ2WXDosorZbEeJEiVEpw0gIYAAAggggAACCCCAAAKhIsAcoKFyp6gnAghEvEB8fLwkJSUZh5gY/vcd8b8QACCAAAIIIIBASAjo4orWM1xsbGxI1JlKIoAAAuEmwF/Q4XZHaQ8CCIStgA49Zph24G/v4sWLZcWKFebC99xzj1StWtUnlRg/fryZe7RKlSry7LPP+qRMCkEAAQQQQAAB+wnUqlVL9EVCAAEEEAieAAHQ4NlzZQQQQACBEBCYP3++vP7666amXbp08VkAdObMmfL1119LgwYNCICGwO8BVUQAAQQQQAABBBBAAIHQFWAO0NC9d9QcAQQQQAABBBBAAAEEEEAAAQQQQAABBAoRIABaCBCHEUAAAQQQ8Fbg/PnzRVow6OLFix5fqih5PS70l4yXLl0q6inkRwABBBBAAAEEEEAAAQRsK0AA1La3hoohgAACCISiwK5du6RXr15SoUIFKV26tOiCVXXr1pUxY8a4bc7y5cvl2muvFV0kITk5WR566CE5ffr0Zfk136BBg8yweS27UaNG8thjj8nJkyfz5B0yZIg0bdpUOnTokGe/DufX/fqy5jVduXJlnn3t27c39ejcubNcuHAhz/l8QAABBBBAAAEEEEAAAQRCUYA5QEPxrlFnBBBAAAFbCuTm5ooulKRze2rS4Kf21NyxY4cMGzbMbI8YMcIcs37s2bPHBCqzs7PNrn379snbb78tq1evlmXLlkmJEv/3XeV3330nXbt2zRMYTU9PNwspzZo1S5YuXSo1atQwZezevVs2bdp02Xylx48fN/s105kzZ0xefde8mu6++27Zvn272c7JyRFWqjUU/EAAAQQQQAABBBBAAIEQFyAAGuI3kOojgAACCNhHQFeMX79+vURFRYkucvS73/1OtmzZIm3atDGBy7lz50r+AOjZs2dFF1d64403zHl6fMGCBaaH5ocffigDBw6UvXv3ys0332zKqFatmjzxxBPSqVMn+cc//iHvvvuuZGRkyAMPPCDz5s0rFoYGal988UVJSkqSOnXqFKssTkYAAQQQQAABBBBAoDAB/fJfn5tJngvoaDFS0QUIgBbdjDMQQAABBBBwKXD99dfL4cOH5eDBg1K5cmXRHqE6n2ZqaqrpZXnkyBGX57300kvSvHlzc2zy5MlSvXp101v0s88+MwHQhQsXOoa5P/PMM2aIvGbWnqLae/Obb76R//f//p/pvanD7b1Nt956q2j5JAQQQAABBBBAAAEEAiHw888/y8MPPxyIS4XNNQiAencrmQPUOzfOQgABBBBAwKWABj8/+eQTueWWW6RixYrSsmVLxxBzHVaeP+lcoVdffbVjd6VKlSQlJcV8toaja89SK/Xo0cPaNO+33Xab47P2Pi0oubq+c/527do5f2QbAQQQQAABBBBAAIGIFNARXaTwEqAHaHjdT1qDAAIIIBBEgc2bN5vh7DqvZ3R0tJnbU4e3z5gxQ9asWeOYz9O5irrQkPYUdU4lS5Y0H60HLy1Lk77rQknOyflz/pXh83/WVekLShqMJSGAAAIIIIAAAggg4EsBHa1kLcCZv1ydgskOSZ+7tVNC69atzQKm5cqVMyO5jh07Zjoz6GKkOv++HdJrr73mtho9e/Y09XebIYIPEACN4JtP0xFAAAEEfCswevRo0eCnrtC+YcMGqVevnrmADk/XZC1oZD788kNXe9+4caPpKaq7Tp06ZcrQbWs4u64QP2nSJPMQpmX1799fD5s0Z84ca1NatGhhtvX6mvKvJJ+VlWX2u/tRqlQpd4fYjwACCCCAAAIIIICAVwLr1q2Tjz/+2OW5+uwb7FS/fn0ZMGCAmYZK66LB0DJlyoiOntKOCTq1VYcOHcwz+wcffCBHjx4NapXdWWql9O8G62+IoFbShhcnAGrDm0KVEEAAAVcCGlDbv3+/OaSL6ui3kqTACuhK6wcOHHB50W7dujmGumsAUufx1KTBTe39qSl/QNLs/O+PF154QaZMmWKODx8+XM6dO2cO3XDDDea9ffv2VlZ55ZVXpEqVKnLdddfJP//5T/nyyy/NsbZt20rDhg3NtvWu5SxatEi0HF1I6a233nKU42rD6mnq6hj7EEAAAQQQQMA7gW3btonVy02/rKxatap3BXEWAgj4XOCaa66Re+65R2JiYszzu/43qtNRWc/F+jy9a9cu0SBus2bN5Omnn5Zx48bJ7t27fV4XCvSvAAFQ//pSOgIIIOAzAf3H1wqgFTaXo88uSkF5BB599NE8n50/6HBz/WZYg6Q6VKZJkybSuHFj0fk7raHoukCSDne3hrbr+RoonT17tll5XXuIWvdYH7D0YUyTlqUrvutK7xpQ7dq1q/k2Ojs72xxPSEiQ999/31GuBketdNNNN0mjRo3MkJ0aNWpYu3lHAAEEEEAAgQAJ6HQ31r/v1jNBgC7NZRBAoAAB7TRw7733muCnPj/rs3v+pB0b9Fm6QYMG8v3334tOeaV/E+gipidOnMifnc82FmARJBvfHKqGAAIIIBBaArqC+p133mkqnZGRYYKf+lClw9c1HT9+3Dw4mQ+//NDenTNnzpTy5cubP440OKpBy6+++srxzbNmHTx4sEydOlW0969+Q63BT33XvD/++KMJklrlaoD09ddfFw2M6ir0uphS7969Zfr06VYW3hFAAAEEEEAAAQQQiFgB7eGpz+n6rs/jroKfzjjaUUHzaSA0MTHRPFs7H2fb/gL0ALX/PaKGCCCAAAJBFNBJxguaaNy5ajpX0LRp00R7euqQc/1W2ZpX0+rNaeV3Xtld9+3bt0+2bt1q5hjShypX6a677hJ9nTlzxgyl0/mKrPLz53/88cdl6NChpsw6deo48uVfcKljx46XLcKUvyw+I4AAAggggAACCCAQTgLa47NSpUpSs2ZN08PT07a1a9fOzNevCybNmzfPPMN7ei75gitAD9Dg+nN1BBBAAIEgC1gLE1nDyX1RnYoVK5oFidwFJ91dw/pG2d1xa7+u/K5D5AsrX7/R1m+zC8tnlevJuw7ds+ZE8iQ/eRBAAAEEEEAAAQQQsJtAWlqaqVKrVq2KVDVdFEmfw3XUllVGkQogc9AECIAGjZ4LI4AAAgjYQUB7UWpavny5Hapj6zrocPqVK1c6Vre3dWWpHAIIIIAAAggggAACbgT0b4DY2FivFiXTXqOarL8j3FyC3TYTIABqsxtCdRBAAAEEAiugPSR1GPiwYcNMcC+wVw+dq+mwe12EaefOneY9dGpOTRFAAAEEEEAAAQQQ+FWgbNmyZkHR+Ph4xyKivx4tfEvn2dfkbtqqwksgRzAEmAM0GOpcEwEEEEDAVgJTpkwxiwnpAkM6X6YOMSf9KpCTkyO6qNP58+fl73//u1x77bW/HmQLAQQQQAABBBBAAIEQEsg/J763VfdVOd5en/OKJkAAtGhe5EYAAQQQCEOBlJQUWbNmjVklfcWKFXLhwoUwbKX3TdI5jpKTk6VXr15mYSfvS+JMBBBAAAEEEEAAAQSCK6Ajm/R5/+TJk6Jf9FtrAnhaqxMnTpisR48e9fQU8tlAgACoDW4CVUAAAQQQCL6AzgHUt29f8wp+bagBAggggAACCCCAAAII+EsgPT1dmjdvLvv37zdf9BflOrt27TLZtQxS6AgwB2jo3CtqigACCCCAAAIIIIAAAggggAACCCBQTAEd9aVp7dq1RSpJe45u3LjR9BxdtWpVkc4lc3AF6AEaXH+ujgACCHgsUK1aNcfclKVKlfL4PDIigAACCCCAAAIIBE+gYsWK0qBBA1MBa/GU4NWGKyOAgAr88MMP0q1bN4OxYcMG0xu0MBmd83PJkiVm+Pz3338vBw8eLOwUjttIgACojW4GVUEAAQQKEqhRo0ZBhzmGAAIIIIAAAgggYEOBKlWqiL5ICCBgHwENZk6aNEmeeOIJEwy9ePGitGrVyu2q8NnZ2Sb4uXPnThP4nD59un0aQ008EmAIvEdMZEIAAQQQQAABBBBAAAEEEEAAAQQQCBcBDWb+4x//MD06dTj7rFmzZOvWrXLu3DnTRA2S6oJH69evl2nTpsmOHTvk0KFDMm7cONGFlEihJUAP0NC6X9QWAQQQQAABBBBAAAEEEEAAAQQQQMAHAuvWrZOXX35Z+vfvb0r75ptvzHt0dLSZ51ODoJr0feXKlTJ16lQ5ffq02ceP0BIgABpa94vaIoAAAggggAACCCCAAAIIIIAAAiEjcM0110jp0qVd1ld7XG7ZssXlsUDt3LNnjwmCNmvWTFq3bi1169aVxMRE0WHxR48elU2bNokumqT57JAGDx7sthq1atVyeyzSD0T9N4r9f+FsG0joL9b8+fOlS5cuzJFig/tBFRBAAAEEEEAAgVARWLBggZQvX17atWsXKlWmnggggAACCES8wLfffisdOnSIeIeiANgojFeUagc9L3OABv0WUAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ8JcAQ+D9JUu5CCCAAAIIIIAAAggggAACCCCAAAJuBRo3biwfffSR2+McQMBXAgRAfSVJOQgggAACCCCAAAIIIIAAAggggAACHgtUrlxZ7rrrLo/zkxEBbwUYAu+tHOchgAACCCCAAAIIIIAAAggggAACCCCAgO0FCIDa/hZRQQQQQAABBBBAAAEEEEAAAQQQQAABBBDwVoAh8N7KcR4CCCAQYIHs7Gy5dOmSuWpsbKyUKMF3WAG+BVwOAQQQQAABBBAossDFixdFX5pKliwp0dHRRS6DExBAAAEEiidAALR4fpyNAAIIBExg3bp1kpmZaa7XsWNHSUxMDNi1uRACCCCAAAIIIICAdwJbt26V9PR0c3JaWpqkpKR4VxBnIYAAAgh4LUD3Ia/pOBEBBBBAAAEEEEAAAQQQQAABBBBAAAEE7C5AANTud4j6IYAAAggggAACCCCAAAIIIIAAAggggIDXAgRAvabjRAQQQAABBBBAAAEEEEAAAQQQQAABBBCwuwABULvfIeqHAAIIIIAAAggggAACCCCAAAIIIIAAAl4LEAD1mo4TEUAAAQQQQAABBBBAAAEEEEAAAQQQQMDuAgRA7X6HqB8CCCCAAAIIIIAAAggggAACCCCAAAIIeC1AANRrOk5EAAEEEEAAAQQQQAABBBBAAAEEEEAAAbsLEAC1+x2ifggggAACCCCAAAIIIIAAAggggAACCCDgtQABUK/pOBEBBBBAAAEEEEAAAQQQQAABBBBAAAEE7C5AANTud4j6IYAAAggggAACCCCAAAIIIIAAAggggIDXAjFen8mJCCCAAAIBFWjQoIHUrFnTXLNs2bIBvTYXQwABBBBAAAEEEPBOQJ/fkpKSzMnly5f3rhDOQgABBBAolgAB0GLxcTICCCAQOAF9YOahOXDeXAkBBBBAAAEEEPCFQHx8vOiLhAACCCAQPAGGwAfPnisjgAACCCCAAAIIIIAAAggggAACCCCAgJ8F6AHqZ2CKRwABBBBAAAEEEEAAAQQQQAABBBAoXCAnJ0dyc3MLzxhBOUqUKCFRUVER1GL/NJUAqH9cKRUBBBBAAAEEEEAAAQQQQAABBBBAoBCBCxcuyN/+9jd5//33JSMjo5DckXdYA6AtWrSQJ598Uu6+++7IA/BRiwmA+giSYhBAAIFwFli0aJHMmjVLDh065PNm+uPbzOrVq0vv3r2lTZs2Pq8vBSKAAAIIIIAAAggggIBvBLS35x133CELFiyQAQMGyBVXXCElS5b0TeFhUsq5c+eMT58+fSQzM1OGDx8eJi0LbDMIgAbWm6shgAACISWgDySDBw+W9957z6xAn5KSIvoNpJ2T1vmrr76SN954Q5599ll54YUX7Fxd6oYAAggggAACCCCAQMQKzJ49W+bOnSvTpk2TO++8M2IdCmv40KFDZciQIfL0009Lv379pFq1aoWdwvF8AgRA84HwEQEEEEDgVwEdhqLBz7///e/y8MMPh8zcM5cuXZJnnnlGXnzxRWnbtq107dr110axhQACCCCAAAIIIIAAArYQmD9/vjRo0IDgpwd3Q4OfEyZMMJ09tDcoqWgC9u7GU7S2kBsBBBBAwMcCGvzU4KF+2+iPoeo+rq6juOjoaBk1apQ0b97cBHAdB9hAAAEEEEAAAQQQQAAB2wgcP36c3owe3g2d5kvT0aNHPTyDbM4CBECdNdhGAAEEEMgjsHPnTmndunWefaH0QeuubSAhgAACCCCAAAIIIIAAAghErgBD4CP33tNyBBBAoFCBnJwc28/5WVAjtCeotoGEAAIIIIAAAggggAACoSWQnZ1t5vXXWtevX1969uzpkwb8/PPPMnbsWFPWPffcI2lpaT4pl0LsLUAA1N73h9ohgAACDgEd6nD27FnzuXLlyqyO6JBhAwEEEEAAAQQQsK/AiRMn5NSpU6aCFSpUkDJlyti3stQMARsJXLhwQf70pz+ZGt1yyy0+C4DqSuo6l6amdu3aEQA1EuH/gwBo+N9jWogAAmEisG3bNtF/rDV17NhREhMTbdGyb7/9VhYvXixHjhyRK6+80kxgHhcXV+S66QPOY489JqdPn5b+/ftLly5d8pSxceNG0UnSdUi7zu3ZrVs3qV27dp48fEAAAQQQQAABBOwmoM9v6enpplra0ywlJcVuVaQ+CCCAQNgLEAAN+1tMAxFAAAH/CYwcOVJefvnlPBcYM2aMzJs3T2rUqJFnf2Efnn32WXnnnXdMtquvvjpPAFTLfPLJJ0WHwVgpISFBJk+eLLfddpu1i3cEEEAAAQQQQAABBBBAQHJzc+XcuXNF6nF98eJFiYkpPEx26dIl0am2/JX8Xb6/6m33clkEye53iPohgAACNhVYtWqVI/ipPT/79OljHgTWrVsnzz33XJFq/f3338trr73m8pxly5bJ448/boKf2mPizjvvNA8mJ0+elF69eklGRobL89iJAAIIIIAAAggggAACkSXw7rvvSpMmTaRUqVKio9L01bVrVzOKzJWEjkLTvzWSk5OlbNmyoh0xFi1adFlW7YihHT86d+4s5cqVE53OQkflLVy48LK8Q4YMkaZNm0qHDh3yHNPRbLpfXytWrDDHVq5cmWdf+/btTZ31Olo3ku8ECg9t++5alIQAAgggEEYCo0ePNq3Rofj6kKAPAaVLl5ZJkybJlClTZNSoUVK1atVCW3zmzBkZOHCg28WKxo8fb77B1W9jf/rpJ/PA8dlnn5kh8PogovUYN25codchAwIIIIAAAggggAACCISvgE7Ldf/995sGRkVFmcVcdQ2Fzz//XK699lrZunWr6Cgy5zR06FA5fvy4yauLp2onjxtvvFFmzpwpPXr0MFm1Z+jdd98tn3zyieNU/RtmyZIlJu8LL7wgOprNSrt375ZNmzZd9reQXkf3a9LzrXdrn15j+/btZr/WJTY21mzzwzcC9AD1jSOlIIAAAhEnYH3bqd9SavBTk/bO1HT+/HnzQGA+FPLjiSeeEF2JsUGDBi5z6tyfmvTbWP22VZPOD2pdc9asWWYfPxBAAAEEEEAAAQQQQCByBd544w0zIu3666+XQ4cOybFjx+SRRx4xIAcOHBDtbZk/6d8tOg2Xrmeg7/Hx8aZjhvYK1cCnJp2Kywp+/s///I8sXbrUTMXVuHFjc1wDoMuXLzfbxfmxY8cOefHFF+XNN9+U4cOHF6coznUhQA9QFyjsQgABBBAoWEAfFA4fPmwypaamOjI7b+/bt8+x393Gl19+KW+99ZbpOarDVTp16nRZVmt+Hb2mlXRfpUqV5OjRo6LX0W9IS5TgOz3Lh3cEEEAAAQQQQAABBCJNYO7cuWbeTx0lpj09T5w4kWddAg1y5k+//e1vHb1Gtffo5s2bZezYsaaDhi5C26hRI/n000/NaTq6bcaMGebvDl09vmbNmubvF/1bRFeVv+aaa/IXX6TPt956qzzzzDNFOofMngsQAPXcipwIIIAAAr8I7N+/32HhvOK7DoG30t69e61Nl+86BOS+++4zw9tfeuklM1ePq4wtWrSQ//znP7J27VrRb271wUOHr+hLkz7gHDx48LIhJq7KYh8CCCCAAAIIIIAAAgiEr8APP/wgc+bMMXNz6vRZGpy0kvO2tU+HuzunVq1aOT7qcHSdS3Tnzp1m3y233JKn08VvfvMbSUpKMr1H169f7zjP3Yar6zvn1aAqyX8CdJfxny0lI4AAAmEroAsQWcl5pUTnbec8Vl7n90cffVR0fhz9h37YsGHOh/Js65ATLVdXctRg6KBBg8wcPs6ZTp8+7fyRbQQQQAABBBBAAAEEEIgwAR02riPKxowZY4KSv//97/P0qHQ1Yiz/QkMlS5Z0qOk8otZoNN2Zf/5QLc/qAGINl3ec/N+N/PucR7Q557O2rSm+rM+8+1aAAKhvPSkNAQQQiAiBypUrO9rp/A/5uXPnHPsLWgBJ5+2cPHmyY+j7pUuX8jwg6Gft2ampWbNmZlElnf9Te3q+//775pvXtm3bOq6lqzaSEEAAAQQQQAABBBBAIDIFMjMzzeKo2nodyr5nzx7RKbacV2J3FQDNP3enDoG3Ut26dc0wd+tvjdmzZ1uHzPvq1avFGvWmHTWsZAVF83fSyMrKsrK4fNfepiT/CRAA9Z8tJSOAAAJhK6ABUOsBQufWsZLztvWgYB1zfp8+fbr5qAHT5s2bmxUOa9So4cjyxz/+0ezTHqKaevXqJToHjz506IqM+mBSrVo1c6xixYqOb17NDn4ggAACCCCAAAIIIIBAWAlo8HDBggUuXzo1lrWSuja6Vq1aor03NX344YfmXX/kD0jqPl0h/uuvv9ZNs60LIWmqU6eOaABUkw5116RD4keOHGk6ZWjwU0eqWWnAgAHWpjRs2NBs6986ixYtMtsaKNW1DwpKzr1NC8rHMe8EmAPUOzfOQgABBCJaQIOfGrDMyMgQa5V2BXF+8Khdu7ZPjPTbXA146ryjffr0MQ8zOn+OtYqj9hAlIYAAAggggAACCCCAQPgKaE/Nm2++2WUD//znP8vQoUPNEHWdhuvZZ581Qc0tW7aYv1esk3Q0Wf6kc3jqsHldYFVXjrfSqFGjzDRc+llXZdeydF2Cl19+WV5//XXHaDU9rkPtu3XrppsmXXfdddam3HTTTWYhpfT09DwLMjkysBEwAXqABoyaCyGAAALFE7jyyivNP/r6D3/58uWLV5gPzh44cKApRSca/+yzz0QXNdIVEzXpN6bOK7pPmjRJBg8eLEOGDDHHn3rqKTMx+cKFCx3v06ZNM8f0x8MPP2z2V6lSRXR/586dpV+/fjJ16lSzmuOIESPMsBbNW9D8oXqchAACCCCAAAIIBFNAe4Pp85u+qlevHsyqcG0EwlZAR4V99NFHZmFUnXvziy++MPN36ruOONOkPUjzJ13VvWfPnnLs2DFzKDEx0UzVdddddzmyanB08eLF0rdvXzMKzZqqS/9W0V6dEydOdOTVja5du5ogqc4ZqlN7ac/R3r17izUKLk9mPgRMgB6gAaPmQggggEDxBHRIhJ2GRTz44IMybtw4E5DUbzy1bvoPvCYNSjrXVR8Y/v3vf0uZMmXMN6j6EGI9iFgqusK7lRo1amSCnvpZHxZ0lfijR4+aIKhOTG49dOhwlB49elin8Y4AAggggAACCNhOwG7PcLYDokIIuBEoW7asWQjVzeHLdnfv3t10ktCps/Rca4qtH3/8MU/ejh075ilXg6CnTp0SHXnWoEEDx1RfzidpYFT/ntGkAU2d57OgKb8ef/xx0ytVh+dr5xBrfk9d2NU55a+L8zG2fStAD1DfelIaAgggEDEC2oNBe3+2bNnStFmDn3FxcfLqq686enr6AkMfLHTez3r16pniNPip13nooYdML1Frfh9fXIsyEEAAAQQQQAABBBBAIHQFYmJizJBzK/jpaUvi4+PNedY6BwWdp3ODFhT8tM7VLz8aN27sCH5a+3kPjgA9QIPjzlURQACBsBBo0qSJrFu3zkwErnPqaM9N556fViN18nHnCcit/c7vump8/m9EreP6zajOu7Nz507RycT1QcLVdaz8vCOAAAIIIIAAAggggID9BXR019mzZ+1fURvU8MyZM6YWsbGxNqhN6FWBHqChd8+oMQIIIBAwAe1dqQsOFZZ0VfimTZv6NSipAU/tBaqLHnka/NS600O0sLvHcQQQQAABBBBAAAEEgiOg6xxohwrt6EAqWGD27Nkmg5qRii5AD9Cim3EGAgggEDECNWvWlA0bNoRse3W+n6IOfwnZxlJxBBBAAAEEEEAAAQRCTOC+++6T0aNHm0XCdLX1q666yuPODiHWVK+rqyPg5s+fL48++qhZVT4tLc3rsiL5RAKgkXz3aTsCCCBQiED//v3lj3/8o1lR8e677y4kt70O64PU6tWrZeTIkfaqGLVBAAEEEEAAAQQQQAABI1ChQgWzYnuvXr3khhtuQKUAAV3kyVqIqYBsHHIjQADUDQy7EUAAAQTELGa0ZMkS6dOnj7zyyitSq1Yt27PosHddbVHnDH344Yfl9ttvt32dqSACCCCAAAIIIIAAApEq0Lx5czPq7PvvvzdD4T2ZgiuSrHSeVF14VqcCI3kvQADUezvORAABBMJeQOfanDFjhkyfPl1mzZolhw4dsn2bdc7Pa665RsaOHStdu3a1fX2pIAIIIIAAAggggAACkS6gq6+3b9/evCLdgvb7R4AAqH9cKRUBBBAIGwENKOqQFH2REEAAAQQQQAABBBBAAAEEEAg1AVaBD7U7Rn0RQAABBBBAAAEEEEAAAQQQQAABBBBAwGMBeoB6TEVGBBBAILgCGRkZcvz4cVOJ+vXrS5kyZYJbIa6OAAIIIIAAAgggUKjAgQMHJCsry+RLTU2V8uXLF3oOGRBAAAEEfCtAANS3npSGAAII+E1AH5wzMzNN+TVr1iQA6jdpCkYAAQQQQAABBHwncOTIEdm+fbspMCkpiQCo72gpCQEEEPBYgCHwHlOREQEEEEAAAQQQQAABBBBAAAEEEEAAAQRCTYAAaKjdMeqLAAIIIIAAAggggAACCCCAAAIIIIAAAh4LEAD1mIqMCCCAAAIIIIAAAggggAACCCCAAAIIIBBqAgRAQ+2OUV8EEEAAAQQQQAABBBBAAAEEEEAAAQQQ8FiAAKjHVGREAAEEEEAAAQQQQAABBBBAAAEEEEAAgVATIAAaaneM+iKAAAIIIIAAAggggAACCCCAAAIIIICAxwIEQD2mIiMCCCCAAAIIIIAAAggggAACCCCAAAIIhJoAAdBQu2PUFwEEEEAAAQQQQAABBBBAAAEEEEAAAQQ8FiAA6jEVGRFAAAEEEEAAAQQQQAABBBBAAAEEEEAg1ARiQq3C1BcBBBCIVIG4uDgpV66caX50dHSkMtBuBBBAAAEEEEAgpARKlSrleIYrWbJkSNWdyiKAAALhIkAANFzuJO1AAIGwF2jatKnoi4QAAggggAACCCAQOgJ169YVfZEQQAABBIInwBD44NlzZQQQQAABBBBAAAEEEEAAAQQQQAABBBDwswABUD8DUzwCCCCAAAIIIIAAAggggAACCCCAAAIIBE+AAGjw7LkyAggggAACCCCAAAIIIIAAAggggAACCPhZgDlA/QxM8QgggECwBPbv3y8pKSnBunzYXDcqKkouXrwYNu2hIQgggAACCCCAAAIIIIBApAkQAI20O057EUAgYgRyc3MlJycnYtrrr4ZqAJSEAAIIIIAAAggggAACCCAQugIEQEP33lFzBBBAQPbs2eM2yJmVlWVLIQ0o6kqoDRo0kMTERFP/o0ePSnp6uuzatcuWdc7IyHBbr5IlS0r16tXdHucAAggggAACCCCAAAIIIIBAcAUIgAbXn6sjgAACxRLo3bu3nD9/3mUZ2dnZLvcHa6cGPq+77jrp0aOHVKhQwWU1Dhw4ILNmzZJVq1a5PB6MndqT9vbbb3d76dTUVPn000/dHucAAggggAACCCCAAAIIIIBAcAUIgAbXn6sjgAACESFQpkwZGTx4sDRv3ty0V3tM1qxZUxISEkQDjCdOnHD0/rz//vvliiuukH/961/MvRkRvx00EgEEEEAAAQQQQAABBBDwrwABUP/6UjoCCCBQoMDhw4clMzOzwDwFHTxz5oxcuHDBZRa7LNwTExMjQ4cONcPetednhw4dpHLlypfVWYOearFkyRK55pprpHTp0jJhwgQTIL0sc4B3nD171u0Vjx8/LuvXr3d7vLADtWvXlnLlyhWWjeMIIIAAAggggAACCCCAAAJeChAA9RKO0xBAAAFfCKxbt04+/vhjr4vat2+fXLp0yeX5dlkA6c477zTBzypVqkjXrl0lNjbWZX11p65af9ttt8m8efOkVatWctNNN8lnn33mNn+gDhQ0n6oGoTVQ623SHq9XXXWVt6dzHgIIIIAAAggggAACCCCAQCECJQo5zmEEEEAAAZsI6EJBe/fuNS+7ze/pjqhq1arSsWNHE/Ts3LlzgcFPqwwdLt+lSxfROUO7d+8u8fHx1iHeEUAAAQQQQACBkBPYsWOHfP311+ZV0JeqIdcwKowAAgiEkAAB0BC6WVQVAQQiW0CHtOtwd33pvJmhkNq3by/R0dHSsmVLiYuL87jKujp848aNzTD4Nm3aeHweGRFAAAEEEEAAAbsJnDt3TnTKHH2FypfYdjOkPggggEBxBQiAFleQ8xFAAAEE3Aq0aNHCHKtXr57bPO4O1K9f3xzS4CkJAQQQQAABBBBAAAEEEEAAAW8FCIB6K8d5CCCAAAKFCui8n6VKlTKrvReaOV+GihUrmj2uFkzKl5WPCCCAAAIIIIAAAggggAACCLgVIADqloYDCCCAAALFEdDV30uWLOnRvJ+urqPnlyhRokhD512Vwz4EEEAAAQQQQAABBBBAAIHIFmAV+Mi+/7QeAQQQ8JuAzll69uxZ0UCmN0nnOtWV7E+ePOnN6ZyDAAIIIIAAAggggAACCCCAgBGgByi/CAgggAACfhPQVes1EHr48OEiX2P//v3mnMzMzCKfywkIIIAAAggggAACCCCAAAIIWAIEQC0J3hFAAAEEfC7wn//8x5S5efPmIpdtnWOVUeQCOAEBBBBAAAEEEEAAAQQQQACB/woQAOXXAAEEEEDAbwLfffednDt3TjSYeejQIY+vs3v3bsnIyJAjR47I6tWrPT6PjAgggAACCCCAAAIIIIAAAgjkFyAAml+EzwgggAACPhM4deqUzJw5U3Jzc+WLL76QY8eOFVp2VlaWfPXVVybfxx9/bIbQF3oSGRBAAAEEEEAAAQQQQAABBBBwI+DdyhRuCmM3AggggEDRBH7zm99ImzZtPDppzZo1sm/fPpO3ffv2Ur58eVm3bp3oYkGuUnZ2tulB6epYIPdpMDM1NVWuu+46mT17tqSlpUnjxo0lOjo6TzW0vhs2bJC1a9eaxY/mzZsn2mY7pJo1a7qtRo0aNWT06NFujxd2oHTp0oVl4TgCCCCAAAIIIIAAAggggEAxBAiAFgOPUxFAAIHiCpQsWVL05UmqXbu2JCYmmqxJSUlSpkwZE0QsUcJ1Z353+z25lq/z/Otf/5KjR49K9+7dZdmyZbJq1SpJSUmRhIQE0zv0xIkToosdXbp0ybymTZvm6AXq67p4U15BlrrKfXx8vDfFcg4CCCCAAAIIRIBAhQoVpE6dOqalZcuWjYAW00QEEEDAfgIEQO13T6gRAggg4FJAe1HqyzlpL9Dz588773Jsu+sZ6sgQ4A3t/amBzx49ekiLFi1k586deWqg7dAen3PnzpWDBw/mORbsD+rsLmkQl4QAAggggAACCLgTqFatmuiLhAACCCAQPAECoMGz58oIIIBAsQXmz5/vtgwdLp+cnOz2eDAOaC/Pt99+W2JjY6VWrVqmR6vOD6q9Q3ft2mXL+T6joqJk0aJFweDimggggAACCCCAAAIIIIAAAj4QIADqA0SKQAABBBAomoD2Tt26dWvRTiI3AggggAACCCCAAAIIIIAAAl4IEAD1Ao1TEEAAgVAQ0F6W7dq1C4Wq2rqO2gOUhAACCCCAAAIIIIAAAgggELoCBEBD995RcwQQQKBAgYoVK8rSpUsLzMNBBBBAAAEEEEAAAQQQQAABBMJdwPXSweHeatqHAAIIIIAAAggggAACCCCAAAIIIIAAAhEhQAA0Im4zjUQAAQQQQAABBBBAAAEEEEAAAQQQQCAyBQiARuZ9p9UIIIAAAggggAACCCCAAAIIIIAAAghEhAAB0Ii4zTQSAQQQQAABBBBAAAEEEEAAAQQQQACByBQgABqZ951WI4AAAggggAACCCCAAAIIIIAAAgggEBECrAIfEbeZRiKAQDgI5OTkiL40RUdHS1RUVDg0izYggAACCCCAAAJhLcAzXFjfXhqHAAIhIkAANERuFNVEAAEE1qxZI5mZmQaiY8eOkpiYCAoCCCCAAAIIIICAzQW2bNki6enpppZpaWmSkpJi8xpTPQQQQCD8BBgCH373lBYhgAACCCCAAAIIIIAAAggggAACCCCAwC8CBED5VUAAAQQQQAABBBBAAAEEEEAAAQQQQACBsBUgABq2t5aGIYAAAggggAACCCCAAAIIIIAAAggggAABUH4HEEAAAQQQQAABBBBAAAEEEEAAAQQQQCBsBQiAhu2tpWEIIIAAAggggAACCCCAAAIIIIAAAgggQACU3wEEEEAAAQQQQAABBBBAAAEEEEAAAQQQCFsBAqBhe2tpGAIIIIAAAggggAACCCCAAAIIIIAAAggQAOV3AAEEEEAAAQQQQAABBBBAAAEEEEAAAQTCVoAAaNjeWhqGAAIIIIAAAggggAACCCCAAAIIIIAAAgRA+R1AAAEEEEAAAQQQQAABBBBAAAEEEEAAgbAViAnbltEwBBBAIMwE6tatK9WrVzetiouLK7B1J0+elL/85S/yySefSFZWluTm5haYP1gHo6KignVpj66r9UtOTpZ+/frJiBEjJDY21qPzyIQAAggggAACCFgCKSkpUq5cOfMxKSnJ2s07AggggEAABQiABhCbSyGAAALFEfD0gfn06dPSoUMH2bJli/Tt21dq1aol0dHRxbl0xJ6rgeONGzfK888/L998840sWLAAy4j9baDhCCCAAAIIeCegwU8rAOpdCZyFgO8FVq5cKXPmzJHDhw/7vnAfl6idErQjSK9evaRhw4Y+Lp3iIkWAAGik3GnaiQACESMwevRo+emnn2Tp0qWSlpYWMe32Z0P79Okjt9xyi3zwwQdy3333+fNSlI0AAggggAACCCCAgF8F/vjHP8rYsWMlMTFRqlWrJiVK2Ht2RO2UkJGRYToljBkzRh555BG/+lB4eAoQAA3P+0qrEEAgggX0m9zbbruN4KcPfwe6d+8u1157rcydO5cAqA9dKQoBBBBAAAEEEEAgsAL6hb4GP0eNGmWmeIqJCY2w0JkzZ2TYsGHy2GOPyZVXXint27cPLBxXC3kBe4f5Q56XBiCAAAKBFzhy5IjUqFEj8BcO8yvWrFkzJIYIhfltoHkIIIAAAggggAACxRB4++23pUuXLvLUU09JqAQ/tbm6BsKECROkXr168s477xRDgFMjVYAAaKTeedqNAAIIIFAkAbsv2FSkxpAZAQQQQAABBBBAICIFfv75Z2nXrl1Itl3XNWjTpo1s27YtJOtPpYMrQAA0uP5cHQEEEEAAAQQQQAABBBBAAAEEEAiIQE5Oju3n/CwIQnutXrp0qaAsHEPApUBoTPbgsursRAABBBAoqkB2dra88cYb5rT69etLz549Cyxi8uTJsmLFComNjXWcN378eElPT5cqVarIs88+W+D57g5++OGHsnz58jyH9RtdHdpSp04dueOOO8TTVe/zFMIHBBBAAAEEEEAAAQQQQAABBPIJEADNB8JHBBBAIJwFLly4IH/6059ME3VV88ICoAsXLpR///vfUqZMGUcAdObMmfL1119LgwYNvA6Afvnll6LBVXfp6aeflldffVXuvfded1nYjwACCCCAAAIIIIAAAn4Q+Pbbb2Xx4sWiawvogkN33nmn6ahQlEtpT9MRI0bIwYMHpXfv3qKLihaU5s2bJ9OmTZP4+Hh56623CsrKMQS8EiAA6hUbJyGAAAKRIaCLKTVr1kxKly7ttwZ37NhRSpUqJRqczcjIkO3bt8uhQ4fMausaeL3rrrv8dm0KRgABBBBAAAEEEEAAgV8FRo4cKS+//PKvO/67NWbMGNEAZVEWWn3xxRcdHSj074mCAqB79+6VAQMGyNGjR80oMAKgefj54CMB5gD1ESTFIIAAAuEooA8/GzZskFWrVhXYvIsXLxZ4vKCD2sP0888/N98y64Tm2sO0ZMmS5pThw4fL6dOnXZ5e1Gu6myvI3X6XF2UnAggggAACCCCAAAJhKqDP/FbwU3t+9unTR3SaqnXr1slzzz3ncat1pNdLL73kcf5BgwaZ4KfHJ5ARAS8ECIB6gcYpCCCAQDAEjh8/LllZWealc3kGIulw+aZNm8pVV13l8nI6j+e1115rhsQkJyfLQw895DZg6bIAFztvu+02eeyxx8yRzMxMmTVrliOXDqX529/+Jk2aNDG9RlNSUsyQGv3W2Dn16NHD1Fsf4D777DOzWqT2Ym3YsKG88847Juu7775r8uj+tLQ0+eSTT5yLYBsBBBBAAAEEEPCJwKlTpxzPcOfOnfNJmRSCgD8ERo8ebYpNTEyURYsWyZQpU2TgwIFmn24fOHCgwMtu3LhR2rdvb87R53ZP0sSJE2XBggWeZCUPAsUSIABaLD5ORgABBAInsHXrVlm2bJl5uesV6evaaABy06ZNsnnz5suK3rNnj3To0MEskqS9Mfft2ydvv/22XH/99eLpA89lhf6yo3Pnzo5DP//8s2Nb5x966qmnHPXRwKfOFdSyZUtxzqc9SbXekyZNkt/97neydu1a0Tqq4YMPPig33XST3H///bJlyxazf/Xq1dK3b99Ce7o6KsIGAggggAACCCDgocDu3bsdz3CHDx/28CyyIRB4AZ3/X5MGMStUqGC29flb0/nz52XJkiVm292PGTNmyNKlS6VSpUqiQ+kLSzt27JBhw4aZbLq+AAkBfwoQAPWnLmUjgAACYSxw9uxZ0fk7169fLz/++KN069bNtFZXjddV3ouTUlNTHadbgc25c+fKp59+avY/8MADsn//fjNsvnr16qJ/TDz//POOc6wNPVeH0WvvWV24yUpffPGFPPPMM3LixAn5+9//bnbrQ5310Gfl4x0BBBBAAAEEEEAAgUgQ0GdhK0Dv/CzuvK0dHgpKOlx+yJAhkp6ebubzt/JGRUVZm4537TBxzz33iPaQ1l6mN9xwg+MYGwj4Q4AAqD9UKRMBBBCIEAGd26d58+ZmoSSd6ycm5v/W1tNh58VJZcuWdZxuPYhNnTrV7NNr/PWvf5XKlSvLb3/7W9NzUw989NFHlw2/12+fR40aZYboa7DW+ia7SpUq8sILL4heR3uCWmnnzp3WJu8IIIAAAggggAACCESMgHYusFJcXJy1mWcx1PzTTjky/bLx5JNPms4F1jN3/uPOn8eOHWt6lOqUVrpNQsDfAqwC729hykcAAQTCVEAfbK6++mpH6zTYqA8wu3btMiu5Ow54saFD761Uu3Zts6nfJGvSAKjOE2qlgwcPmk39FlnP03k+rVSrVi0pUeLX7/r0YU5Xl6xZs6ZY30Trgku6Cr1+6629WkkIIIAAAggggAACCESawMmTJx1Ntjo16A7nbec8jsxOG9ZCpk67zGZubm6eXTpV1dNPP2326RygOucoCQF/CxAA9bcw5SOAAAJhKnDhwgXJ/zBjPfRYwdTekiUAAEAASURBVEVvm67zAVnJmg9Ih8dYyeoVqp81wKkLNWnSIe3OSQObzskKhmqw1jkVt77OZbGNAAIIIIAAAggggECoCejoKitpxwArOS/cVbVqVWu31+86L/+AAQNEy9Wh7zr3vy7w6ryGgH7W53YdUk9CwFcCBEB9JUk5CCCAQIQJ6EJMutKjLkCkSQOUujCSprp165p3b35oUHXcuHHmVH3o6dKli9nWnqDaC1QfhnSeUWuYvNajTJkyeXp6Wtd1F9h0t986j3cEEEAAAQQQQAABBCJJQAOg+pytgUjnTgXO28nJycUm0Y4Oq1atMuV88MEHoi/ndOTIEYmNjTVziL7//vvOh9hGoFgCBECLxcfJCCCAQOgKZGVlyYIFC1w2oH79+mL1vHSZ4ZedOo/mlClTzNybutiQ9Q1xUSYx/+qrr8x8nvpNs9ZJ5xLVAKemhx9+2Mwxqtu6mrsuXnTmzBkzt9CIESN0t1mJXofR6ByfulCS8zAdk4EfCCCAAAIIIIAAAgggUKCABj9r1KghGRkZppODlVmfs61kTU1lfeYdgVASIAAaSneLuiKAAAI+FFi+fLncfPPNLkv885//LLrAUUFJV1+fPXu2JCUlmW+LtSempmbNmpkVHQs61/mYDn1xlVq0aJGnDoMGDZJ33nlHfvrpJ3nqqafkrbfeEh2Gf+DAATOf56OPPkrw0xUk+xBAAAEEEEAAAQQQ8EBAn8v1b4AffvhBdFHTtm3bOhYoqlOnjnTq1MlRyqRJk0w+7a355ptvOvYXtqFrBixcuPCybDoCbN68eZKQkCCffvqp+KK36WUXYUdECxAAjejbT+MRQAAB7wXat28v/fv3l8GDB4uuGqnDym+88UbTg9Ob+Xr0HH3QSU1NlX79+skf/vCHPPP+6DB3fRjTVdvnzJkju3fvNsfbtWtn5g/q1q2b943hTAQQQAABBBBAAAEEIlzgwQcfNFNR6bB3fbbW5/NLly4ZlWHDhuV5Nl+8eLH8+9//NlNRFSUAqouS6ryf+dMnn3xidumaAq6O58/PZwSKKkAAtKhi5EcAAQRCWEDnzcy/cFFBzfnwww9FX85JH3ac0759+2Tr1q1mGLunKzi6mu/HuUx32/qN8NSpU83cRNu2bXN7TZ2b1FXSIT2ukiervxfFzdU12IcAAggggAACCCCAgJ0FdISXdji46667ZP369Sb4qQHL559/XoYMGWLnqlM3BAoVIABaKBEZEEAAgdAS0Dkwrbk4A1VzT+YL9WVddI6iQF9T5yhlflFf3kXKQgABBBBAAAEEELCbQJMmTWTdunVy8OBB82rUqFGenp9WfV11lLCO6Xu9evWK1PHi7bffFn2REPCXAAFQf8lSLgIIIOBjAV1tXefX1FSqVCm3pevcmYsWLZKLFy8SsHOrVLQDusL90qVLpU+fPkU7kdwIIIAAAgggEPECuriktXiMzpdIQiCYAjptla70XljSVeH1Zbekddc2kBAoqkCJop5AfgQQQACB4AjoA7POg6kv7QHpLj3++ONmSPrdd98tu3btcpeN/R4K6MqXPXr0MCvdP/LIIx6eRTYEEEAAAQQQQOD/BHROQ+sZzpt50nFEwJcCOsw9PT3dl0UGtKwtW7aItoGEQFEF6AFaVDHyI4AAAjYX0EWBJk+eLA888IDMmDGjwGCpzZsS9OrpvJ/6qlSpksyaNUu0BwcJAQQQQAABBBBAAIFQFdBOEjqnp674ftNNN4VUM/7xj3/IypUr5eOPPw6pelNZewgQALXHfaAWCCCAgE8F+vbta1Zu/OKLLyQrK8unZUdSYTq8JiUlxaxuHx8fH0lNp60IIIAAAggggAACYSgwfPhwM12WrvLesWNHSU1NtX0rtUPC5s2bTfBTA7e9evWyfZ2poP0ECIDa755QIwQQQMAnAklJSWYFR58URiEIIIAAAggggAACCCAQ8gK6loB2knjvvfdk9uzZotM9aYDRzkmn/0pOTpb//d//ld69e9u5qtTNxgIEQG18c6gaAggggAACCCCAAAIIIIAAAggg4EuBmJgYM12WTplFQiBSBNyvohEpArQTAQQQQAABBBBAAAEEEEAAAQQQQAABBMJWgABo2N5aGoYAAggggAACCCCAAAIIIIAAAggggAACBED5HUAAAQQQQAABBBBAAAEEEEAAAQQQQACBsBUgABq2t5aGIYAAAggggAACCCCAAAIIIIAAAggggAABUH4HEEAAAQQQQAABBBBAAAEEEEAAAQQQQCBsBVgFPmxvLQ1DAIFwE8jMzJQTJ06YZtWpU0dKly4dbk2kPQgggAACCCCAQNgJZGVlyeHDh027UlJSpFy5cmHXRhqEAAII2F2AAKjd7xD1QwABBH4R2Ldvn2gQVFP16tUJgP7iwhsCCCCAAAIIIGBnAQ1+pqenmypq8JMAqJ3vFnVDAIFwFWAIfLjeWdqFAAIIIIAAAggggAACCCCAAAIIIIAAAkIAlF8CBBBAAAEEEEAAAQQQQAABBBBAAAEEEAhbAQKgYXtraRgCCCCAAAIIIIAAAggggAACCCCAAAIIEADldwABBBBAAAEEEEAAAQQQQAABBBBAAAEEwlaAAGjY3loahgACCCCAAAIIIIAAAggggAACCCCAAAIEQPkdQAABBBBAAAEEEEAAAQQQQAABBBBAAIGwFSAAGra3loYhgAACCCCAAAIIIIAAAggggAACCCCAAAFQfgcQQAABBBBAAAEEEEAAAQQQQAABBBBAIGwFCICG7a2lYQgggAACCCCAAAIIIIAAAggggAACCCAQAwECCCCAQGgIlCpVSuLi4kxlS5Tg+6vQuGvUEgEEEEAAAQQiXaBkyZKOZ7iYGP4Ej/TfB9qPAALBEeD/vsFx56oIIIBAkQVatGgh+iIhgAACCCCAAAIIhI5A/fr1RV8kBBBAAIHgCRAADZ49V0YAAQQQQAABBBBAAAEEEEAAAQSKLPDBBx/ImjVrinxeJJ9w4403Svfu3SOZIKLbTgA0om8/jUcAAQQQQAABBBBAAAEEEEAAgVATWLBggXz88cehVu2g1jchIYEAaFDvQHAvTgA0uP5cHQEEEEAAAQQQQAABBBBAAAEEEAh5gdjYWClfvrzk5ubKsWPH5OLFiyHfJhoQPgIEQMPnXtISBBBAAAEEEEAAAQQQQAABBBAIA4ELFy7I448/7rYldhn+Xrp0abn++uslLS1Natas6ahvTk6ObN++XVasWCHffvutLYKhn3/+uRw/ftxRR+cN7R06atQo511sh5kAAdAwu6E0BwEEEEAAAQQQQAABBBBAAAEEQlvg0qVLsmzZMreNOHTokNtjgTpw1VVXSf/+/SU+Pt5cUt81kKjBzxMnTpjFv3QBMJ1787333pNt27YFqmour5OZmenWNCkpyeU57AwfAQKg4XMvaQkCCCCAAAIIIIAAAggggAACCCDgd4HOnTtLr169JCoqSho2bCgtW7aUxMTEPNc9ePCgrF271uwbPny4TJw4kYWb8gjxIZACBEADqc21EEAAAQQQQAABBBBAAAEEEEAgYgRmz54ty5cvL3J7df5M7bHoLp09e9bdIb/v12CnBj9jYmLkhhtukNTUVJfXrFy5sun9uWnTJlm6dKkMGvT/2bsP+KiK9eHjD4QaSiAQWoDQi/R6RUBBQUGRotcGiqCIiCLKH+xcEUUUsXsVC6igooKgoIDSQelKF0R6LwmdUJO8PHPfc9yE3bC72d1s+c3ns8nZc2bmzHwPmuTZKb1k+PDhsmvXLqf5/X3yxIkTLk0PHz4szzzzjFdNaN++vbRs2dKrshQKnAAB0MBZcycEEEAAAQQQQAABBBBAAAEEEIgggVOnTklSUpLHPdYAaGabCOlGQ9mRcufOLXfffbcZ+dm6dWuXwU/HttWsWVPOnz9v1gPVshoEzY6kU/NdmWr7vHlO2o8zZ85kR3e4p4cCOT3MT3YEEEAAAQQQQAABBBBAAAEEEEAAgQgUuOqqq6Ro0aJSoUIF83KXoE6dOlKsWDGpVKmSXHHFFe4WIx8CPhMgAOozSipCAAEEEEAAAQQQQAABBBBAAAEEwlegUaNGpnO1a9f2qJO6VmitWrVMGd08iYRAoAWYAh9oce4XkQJz5syRUaNGyebNm82OeL5E0B8kvk4FChSQa6+9Vh5//HHz6Z6v66c+7wT++usv0YXENdWvX9/ebdG72iiFAAIIIIAAAgggEAiBHTt22Gse1qhRQ4oXLx6I23IPBPwioCM/de3PkiVLelx/fHy8KaN1kBAItAAB0ECLc7+IExgxYoQ8+eSTZph/48aNRddMCfakC0CPHDlSxo0bJ7/++qtYP6iCvd3h3j5dtNtal8bV2jXhbkD/EEAAAQQQQACBUBNITk62f4c7e/ZsqDWf9iJgC+jfsvnz55fo6GizBqh9wc0Dq1xMTIybJciGgO8ECID6zpKaELhEYP369fL000/Lo48+Km+99ZZXPyQuqTRAJ3S0aosWLaRfv34yadKkAN2V2yCAAAIIIIAAAggggAACCASjgA7C0I2EUlJSvGqeltXNm3TDIRICgRZgDdBAi3O/iBKYMGGCmaaso0D9MVXdn5hVqlSRQYMGyZQpU0Q/tSYhgAACCCCAAAIIIIAAAghEroAGL48ePSq6s/25c+c8htCymnTGIQmBQAsQAA20OPeLKIH9+/dL+fLlJW/evCHZ72rVqplP9xITE0Oy/TQaAQQQQAABBBBAAAEEEEDAdwIbNmwwlenatp6m7du3myJ//vmnp0XJj0CWBQiAZpmQChAIXwFr1Kp+0kdCAAEEEEAAAQQQQAABBBCIbIHFixcbgJUrV3o0Ff7MmTOybt06U2bZsmWRjUjvs0WAAGi2sHNTBBBAAAEEEEAAAQQQQAABBBBAILQE/vrrLxPIPH78uPz2229uNV7X/pw9e7ZZ+3P+/PnCDEO32MjkYwE2QfIxKNUh4KmAroOia4WuWbNGypQpI9dff700atTI7Wq2bNkis2bNkrVr15rd2tu1aycNGjS4pLwuNK33+eOPPyRfvnxy5ZVXyk033RRya5Ne0jFOIIAAAggggAACCCCAAAJBKlCnTh0pVKiQx63TNTYXLFjgspyOqDx79qzL6/688Nlnn8lzzz0nmzZtEt0YqXnz5i6XfdP1QufOnSu6PNyuXbvku+++82fTMq1bl6YrUqSI0zwFCxaUDh06OL12uZOVKlW6XBauB4EAAdAgeAg0IXIFNm7caIKQW7dutREGDx4sI0eOlMcee8w+5+pAA5o9evRIt0mRln/hhRfk2WeftYvpD5pOnTqJTlNwTPo/+C+++EJiYmIcT3OMAAIIIIAAAggggAACCCDgAwENgOrL03T69GkZPny4y2JJSUkur/n7wrFjx+TNN9+Ufv36mVvt3r1batasKWXLljXBXl1CTfPoOqE6YlRHgOrxu+++69XmSb7qjw4EcvW3b2xsrNx8882+uhX1BKEAU+CD8KHQpMgRGDhwoGjwM3/+/HLvvfdK9erVzZooet5aINqVhv7Au/vuu03ws1SpUvLAAw9IQkKCKa+fxumnbFbq3bu3CX7qmp76P/WqVauaSz/++KM8+eSTVja+I4AAAggggAACCCCAAAIIIHBZgb1798qwYcNk4cKFoqNRV69eLT/99JN8/fXX8s0338iMGTNEN0zSUarTp0+XV1991QRFL1sxGRDwkwAjQP0ES7UIXE5AR39OmzbNZBs0aJAZtanBUA2C6jSCt956y7xc1aOjP3VahCYNdtaoUcNMg69bt645pz98WrdubT5x0x8+mjSwOmLECFN/q1atzJotOn1hyJAhokFUEgIIIIAAAggggAACCCCAQPYL6HRtDTC6Sjo6VNfTzM508uRJGTt2rAl86jJsVapUMVPMU1JSRJd609GfOgvxxIkT2dlM+976N7AOPHKW1JsU3gIEQMP7+dK7IBbQdTut3dU7duxoWqprh+j6n0uXLpWZM2dm2vo+ffqYae06UlSDn5qsgKgeV6hQQb/J+vXrzXf90qZNG3OcK1cuueWWW0wA1PpErmfPnnY+DoJToFixYpIz5/8G7ufJkyc4G0mrEEAAAQQQQAABBNIJ6JTbcuXKmXPR0dHprvEGAVcC+nv/DTfc4OqyfPrppy6vBfqCzk7Uv2/1FcxJ/97OzDSY207bsi5AADTrhtSAgFcCOmXASuXLl7cORY81ALpv3z77nKuD0qVLi750YenRo0fLmDFjTNb4+Hi59dZbzXFUVJRd3HGRbMcRn3v27LHzcBC8AhUrVhR9kRBAAAEEEEAAAQRCR0A3OtUXCQEEEEAg+wQIgGafPXeOcAHHAKfjJ8G6MLOmI0eOmLVUrPeZcS1btkz69+9vshQvXlyWLFliAqN6onbt2nZRnQpvLeysU+StRADUkuA7AggggAACCCCAAAIIIBD8Aq+88oo88cQTwd/QIGqhDh4iRa4AAdDIffb0PJsFHNdB0SnpVnI81jzuBEA1WKrrfS5fvlwSExPN9PaPP/5Y6tWrJ5UrV5a77rpLxo8fL++//77ZdEmnys+ZM8e6pRlBar/hAAEEEEAAAQQQQAABBBBAIKgFdMkza9mzoG4ojUMgSATYBT5IHgTNiDyBuLg4u9OOU9N1Bz1NGgjVNR/dSbqepwY0d+3aZXaC10Bov3797KLvvfee3Hjjjea9jgLVvNZIUD3JlBybigMEEEAAAQQQQAABBBBAAAEEEAgzAQKgYfZA6U7oCJQsWdJu7PHjxy851uvWhjf2xcscFClSxF7787fffrPXEY2NjZUff/xRVqxYIePGjTMjRV966SW7trJly9rHHCCAAAIIIIAAAggggAACCCCAAALhJEAANJyeJn0JKYGEhAS7vY47tW/YsMGcv9x0htdee02uvvpqadKkiZw/f96ua/fu3eY4NTXVnL9w4YIJeH7//fdmVOndd98tjRs3NuuEWoVq1aplHfIdAQQQQAABBBBAAAEEEEAAAQQQCCsBAqBh9TjpTCgJ6C7tBQsWNE0eMWKEWYdTR2du3brVnLvvvvvs7uju7r1795ZHHnnEPqcBzoULF5pRnTqaU9cLnTJlilibG2mAVXeUz5Ejh7Rr186sC6p1HD582JR79dVXTV0NGjQw64faFXOAAAIIIIAAAggggAACCCCAAAIIhJEAAdAweph0JbQEChcuLH369DGN1jU5Y2JipHv37ua9rsnZrVs3u0Nz584V3dRIA6FWeuihh6RatWrm7dChQ6Vo0aLSqVMnE0jVoOcnn3xirkVFRckDDzxgjnW3eJ1aryNHNdCaO3duGTZsmFUl3xFAAAEEEEAAAQQQQAABBBBAAIGwEyAAGnaPlA6FkoCO/Bw8eLBER0dLSkqKabpOadeRnXnz5s20KxpAnTlzpnTp0sXks8rXqFHDbHLUpk0bu/yLL75oRpDqmqI6JV5T9erVZd68edK+fXs7HwcIIIAAAggggAACCCCAAAIIIIBAuAkQAA23J0p/gkogLS0t0/boSE0dvambIK1bt04SExNFR2lWqlQpXTmdGq91JScnpzuvU9wnTZpkpr+vWrVKDhw4ILqGaKtWrdLl05GeH374oSQlJcnvv/9u7rNx40a56qqr0uXjDQIIIIAAAggggAACCCCAAAIIIBBuArnCrUP0B4FgEtARl44bFLlqm05Tz8pGRLqWaL169VxVb5/XXeIbNmxov7/cgTVaVNtHQgABBBBAAAEEEEAAAQQQQAABBEJRgABoKD412hwyArpG5+jRo83ITF17M9TSb7/9ZjZqKlWqVKg1PSzbu2LFCtmzZ4/p2zXXXCMa0CYhgAACCCCAAAIIBLeAztDatGmTaWTjxo0lPj4+uBtM6xBAAIEwFGAKfBg+VLoUPAK6kZGu73nHHXfIvn37gqdhl2mJTrcfP368vPPOO2bt0Fy5+KzkMmRcRgABBBBAAAEEEEAAAQQQQACBIBUgqhGkD4ZmhYdAiRIlZOLEiXLbbbdJuXLlJCEhQYJ9OrkGP48cOWLWC+3YsaO8/PLL4fEw6AUCCCCAAAIIIIAAAggggAACCESkAAHQiHzsdDqQArob+99//y1ff/21bNmyRVJTUwN5e6/upWuKtm7dWhx3kveqIgohgAACCCCAAAIIIIAAAggggAAC2SxAADSbHwC3jwyB4sWLyyOPPBIZnaWXCCCAAAIIIIAAAggggAACCCCAQBAJsAZoED0MmoIAAggggAACCCCAAAIIIIAAAggggAACvhUgAOpbT2pDAAEEEEAAAQQQQAABBBBAAAEEEEAAgSASIAAaRA+DpiCAAAIIIIAAAggggAACCCCAAAIIIICAbwUIgPrWk9oQQAABBBBAAAEEEEAAAQQQQAABBBBAIIgE2AQpiB4GTUEAAQQQQAABBBBAAAEEEEAAAQRcCRw6dEgSExMlLS3NVZZsP58jR45sb4OrBmjbSpcuLTExMa6ycD5MBQiAhumDpVsIIIAAAggggAACCCCAAAIIIBAeAn/++af06dNHFi5cGB4dysZe5MyZU26++Wb54IMPTDA0G5vCrQMoQAA0gNjcCgEEEMiKQIUKFSQuLs5UER0dnZWqKIsAAggggAACCCAQIAEdbWb97la0aNEA3ZXbhJPAzp07pWXLlhIbGyuffPKJJCQkiAbxSJ4L6MjZdevWycsvvyzXXHON/PHHH1KwYEHPK6JEyAkQAA25R0aDEUAgUgWKFy8u+iIhgAACCCCAAAIIhI5AkSJFRF8kBLwVGDZsmAl4Llq0yB4Q4W1dlBO57rrrpG3btlK/fn0zCnTQoEGwRIAAHxlEwEOmiwgggAACCCCAAAIIIIAAAgggEJoC8+fPl1tuuYXgpw8f3xVXXCEtWrSQBQsW+LBWqgpmAQKgwfx0aBsCCCCAAAIIIIAAAggggAACCES0QHJyMqOI/fAvQJcUOHXqlB9qpspgFCAAGoxPhTYhgAACCCCAAAIIIIAAAggggAACCCCAgE8EWAPUJ4xUggACCCCAAAIIIIAAAggggAACCARW4Pz58/LGG2+Ym1apUkVuvfXWTBswduxYWbZsmeTJk8cu984778imTZukRIkS8p///CfT8q4ujhs3TpYuXZruclRUlNkArGLFivLvf//bbOKULgNvEAigAAHQAGJzKwQQQAABBBBAAAEEEEAAAQQQQMBXAufOnZOnnnrKVHfzzTdfNgA6c+ZM+eKLLyR//vx2AHTy5Mkyb948qVq1qtcB0FmzZokGV12lZ599VkaMGCE9e/Z0lYXzCPhVgACoX3mpHAEEEEAAAQQQQAABBBBAAAEEEAgOgbJly0qtWrUkX758fmvQNddcI3nz5hUNzu7cuVO2bt0qiYmJct9995nA65133um3e1MxAq4EWAPUlQznEUAAAQQQQAABBBBAAAEEEEAAgTASGD58uKxbt05WrFiRaa8uXLiQ6fXMLuoI059//lnmzp0rW7ZsER1hmjt3blNk4MCBLjce8vSeKSkpTpvh6rzTzJyMGAECoBHzqOkoAggggAACCCCAAAIIIIAAAghEsoBOl7/iiiukYcOGThl0Hc8rr7zSrN1ZpkwZ6du3r8uApdMKnJzs3Lmz9O/f31zZs2ePfP/993au1NRUeeWVV6RmzZpm1Gh8fLzccccdsnfvXjuPHnTs2NG0WwO4M2bMkKZNm5pRrNWqVZNRo0aZvB999JHJo6NbGzduLN999126OngT2QJMgY/s50/v3RDQxaBJ3gvExsZK8eLFva+AkggggAACCCCAAAIIIIAAAj4R0ADkhg0bzFT0jBXu3r1brr76atGNlTTt27dPPvjgA/n9999l8eLFkjOn92Po2rRpIyNHjjT1bt682XzXL7fddptMmjTJvNf6NfD57bffyuzZs2XJkiWiGztp0pGk2u4xY8bItm3bJEeOHKIjRv/++2956KGHzCjTX375xbRRg6ra5m7duklCQoIJhppK+BLRAgRAI/rx0/nLCej/OKtXr365bFzPROCJJ56QV199NZMcXHJX4OTJk2YdHc1fuHBhyZWL/4W7a0c+BBBAAAEEEEAguwSSk5PlzJkz5vYFCxY0u29nV1u4LwKZCZw+fVratm1rNkfSAOOgQYNk+vTpZtd43eX93nvvzax4ptfKly9vX7cCoFOnTrWDn3369JGhQ4fK+vXrpWvXrib4OmTIELNhk13w4oGWffLJJ81mTcuXL5dWrVqZyxr8HDx4sLn26aefSr9+/eTs2bOimz7paFASAt6H77FDAAEEEAiowMaNG2XhwoXmpcFQEgIIIIAAAggggEDwC+zYscP+He7QoUPB32BaGNECL774otSuXdtslKS7uluDLnTaeVZSgQIF7OJJSUnm+KuvvjLf9R7Dhg2TuLg4E9DUkZuaxo8ff8n0e51d+PLLL5sp+rrZUtGiRU3eEiVKyAsvvCB6nwcffNCc0y/bt2+3jzmIbAGGD0X286f3FwXWrl0rR44ccWqhI0CDLekPB10fRX8oFStWzKyTcuzYMdm1a5esXLlSDh48GFRN1nYtWLDAZZvq1asnMTExLq9zAQEEEEAAAQQQQAABBBBAwP8CGkxs0qSJfSMNNuqanBrE153cs5J06r2VKlSoYA6t5eb0b1xdJ9RK1gcF+ve4ltN1Pq2kU9odp+JHR0ebv+fLlStnpsVrPt1wSXeh1xGgOqqVhIAKEADl30HEC+hCybqeSSikq666yvxgsD7lcmzzv/71L/n3v/9tdvObOHGiWJ+qOebJjmPd+c/6webs/urvagFuZ/k5hwACCCCAAAIIIIAAAggg4HuBc+fOSVpaWrqKrd3bdUp8VpKu22mlqlWrmkPHWW2Of79qgFM3atJ0/Phx8936ooFNx2QFQzPuO5HV9jreg+PwECAAGh7PkV6EuUBUVJRZb6VZs2amp/rpVqVKlcxwf/2BdOrUKbNGyl9//WXWN9ERorpYtb4nIYAAAggggAACCCCAAAIIIHA5Af27UtfgrFu3rsmqAUrdGEmT/v3pbdKg6ttvv22K69+2us6oJh0JqoNlNIi5bNkyM31dz2s78ufPn26kp57X5Cqw6er8/0rxFQFGgPJvIEwE5s+fb4a3e9OdnTt3XvKpkjf1+LNM9+7dRYOfOrz/uuuuk5IlS6a7nU4hL1OmjOh08hUrVsi6devk0UcflVdeecVMjU+XOcBvdNpBxk/tHJugO/slJiY6nnL7uEaNGuK4mLbbBcmIAAIIIIAAAggggAACCISZgC6HppsWOUu6m7o18tLZdeucrqP55ZdfmiDkwIED7Q289O9Qd9OcOXPMep76t6C2SdcS1QCnpocfftgs56bHHTp0EN28SDcKe/fdd82mS3ped6LXHd91jU/dKMlah1SvkRDwVoARoN7KUS6oBH766SfRdTC9SVu2bHG5Bqg39fm6jE5t16nvGvzs1KmT/amYs/voD4Yrr7zSfFqmO+I99NBDZie8lJQUZ9kDck5/6LlaY1UbMHv2bFm9erVXbbnzzjsJgHolRyEEEEAAAQQQQAABBBAIN4GlS5fKjTfe6LRbzz33nOgGR5ml0qVLyw8//CCxsbFm9KWOxNRUq1Yt6dGjhzl254ur3eLr1KmTrg29evWSUaNGyZ9//ilPP/20vP/++6LT8A8cOGBGeuqgHoKf7oiTxx0BdoF3R4k8CGSTgE4PuOWWW8zdr7322kyDn45N1JGgZcuWNZ+66admJAQQQAABBBBAAAEEEEAAAQQyE2jRooVMnjzZbFKrwU+dVn7DDTeIjujUv009TVpGl29r3ry5WaJNN+0tXLiwXY1Oc9cZgXfddZf5W1c30NXZgToASAOj7du3t/NygEBWBRgBmlVByiPgRwHd7U4/fdOd90qVKuXRnRo3bmzWa9EfHvoDi4QAAggggAACCCCAAAIIIBBeAgUKFLhk46LMejhu3DjRl2PSjWsd0759++Tvv/82A2qKFCnieMnl8eeffy768jQVKlRIvvrqK9Ed33V2ZlxcnDi7p65N6izpknbOEru/O1OJ7HMEQCP7+dP7IBeoXbu2aWHFihU9bqnugqc/TBISEsynadb0BY8rogACCCCAAAIIIIAAAggggEC2CmTcnd3fjXFnvVBftkE3Qgr0PQNt6ksv6vJcgCnwnptRAoGACejoT01Fixb16p5WOaseryqhEAIIIIAAAggggAACCCCAQLYJ6FTxEydOZNv9w/XGulmv2pIiQ4AAaGQ8Z3oZogJ58+Y1Lfd24WerXJ48eUJUgGYjgAACCCCAAAIIIIAAApEtoMuaff/993L06NHIhvBh73W6/cKFC836pD6slqqCWIAp8EH8cGgaAtYPOJ2+XqxYMY9BrGnv+skWKfQFdEmEGjVqmI7wSWXoP096gAACCCCAAAKRIVC5cmWzEYz2Nl++fJHRaXrpU4Fnn31WvvvuO7n66qtl8ODB4s0SaT5tUAhXpmuN6nqizz//vJQsWVL69u0bwr2h6Z4IEAD1RIu8CARYwFrQee/evVK+fHmP7n7u3Dk5ePCgaBBUd9Ijhb4AvzCH/jOkBwgggAACCCAQeQI6G4sZWZH33H3Z4ypVqohuVNSrVy+5/fbbfVl1xNZ17bXXyieffOJ0w6WIRQnzjhMADfMHTPdCW2DVqlVy1113yaZNm6Rhw4Ye/eK0ceNGsxug1sHizqH974DWI4AAAggggAACCCCAQGQLNGrUSFauXClbt26VQ4cORTZGFnqfI0cOiY+PN68sVEPREBQgABqCD40mR46AToFftGiRtGjRQpYsWWKmPLjT+2PHjpkfjjq8f8aMGe4UIQ8CCCCAAAIIIIAAAggggECQC1SqVEn0RUIAAc8ECIB65kXuIBUoUKCApKSkeNW63LlzS1RUlFdlA1Fo8uTJUqdOHTMKVNd9bNy4seinVq6SBj816Hn+/HmZPn267N+/31XWgJzXtmbmGx0dLQULFvSqLfrsSAgggAACCCCAAAIIIIAAAggggEBmAgRAM9PhWsgI6ALG3qZ+/frJ4sWLXRY/cOCAy2uBuKAbGL333nsyYMAAWb16tQloahC0VKlS6QKhZ8+elQ0bNohOeb9w4YKsWLFCfvjhh0A0MdN7FCpUKNPpBY8//riZ3p9pJVxEAAEEEEAAAQQQQAABBBBAAAEEvBQgAOolHMUQCKTA9u3bZdiwYdKnTx9z259++kl0NGjRokUlV65ckpycLElJSWatTx0JqyM/p0yZwtqfgXxI3AsBBBBAAAEEEEAAAQQQQAABBIJSgABoUD4WGhVIgcqVK8vp06ed3lI3D/r999+dXgv0SR2JOnToUGnWrJk0b95cdCdAx3brSFEd/fnzzz+b3d8D3T5X9ytRooTUr1/f1WWvp7+7rJALCCCAAAIIIIAAAggggAACCCCAgIMAAVAHDA4jU+Cxxx5z2XHdRGjMmDEurwf6ggZkdVMkfeXNm1eKFCki+fLlE133U1/BuNt7u3bt5NVXXw00FfdDAAEEEEAAAQQQQAABBBBAAAEEjAABUP4hIBCiArrmZ3avTxqidDQbAQQQQAABBBBAAAEEEEAAAQQiSIAAaAQ9bLrquYDuYH7//fd7XpAStkDTpk3tYw4QQAABBBBAAAEEEEAAAQQQQACBQAsQAA20OPcLKQENgH7yySch1WYaG74C+/fvlxMnTpgOlitXzix/EL69pWcIIIAAAggggEB4COhmpYcPHzadKVWqlBQqVCg8OkYvEEAAgRASIAAaQg+LpiKAQGQL7N69W/bs2WMQ4uLiCIBG9j8Heo8AAggggAACISJw8OBB2bRpk2ltdHQ0AdAQeW40EwEEwksgZ3h1h94ggAACCCCAAAIIIIAAAggggAACCCCAAAL/CBAA/ceCIwQQQAABBBBAAAEEEEAAAQQQQAABBBAIMwECoGH2QOkOAggggAACCCCAAAIIIIAAAggggAACCPwjQAD0HwuOEEAAAQQQQAABBBBAAAEEEEAAAQQQQCDMBAiAhtkDpTsIIIAAAggggAACCCCAAAIIIIAAAggg8I8AAdB/LDhCAAEEEEAAAQQQQAABBBBAAAEEEEAAgTATIAAaZg+U7iCAAAIIIIAAAggggAACCCCAAAIIIIDAPwIEQP+x4AgBBBBAAAEEEEAAAQQQQAABBBBAAAEEwkyAAGiYPVC6gwACCCCAAAIIIIAAAggggAACCCCAAAL/COT655AjBBBAAIFgFsiVK5fkyZPHNDFnTj6/CuZnRdsQQAABBBBAAAFLICoqyv4dTo9JCCCAAAKBFyAAGnhz7ogAAgh4JVC/fn3RFwkBBBBAAAEEEEAgdASqVasm+iIhgAACCGSfAEOIss+eOyOAAAIIIIAAAggggAACCCCAAAIIIICAnwUIgPoZmOoRQAABBBBAAAEEEEAAAQQQQAABBBBAIPsECIBmnz13RgABBBBAAAEEEEAAAQQQQAABBBBAAAE/CxAA9TMw1SOAAAIIIIAAAggggAACCCCAAAIIIIBA9gmwCVL22XPnbBA4f/68HDp0SFJTU7Ph7v65ZY4cOfxTcTbVmj9/fomNjc2mu3NbBBBAAAEEEEAAAQQQQAABBBAINwECoOH2ROmPU4ETJ07IoEGDZNy4cZKcnOw0DyeDR+CKK66QV199VTp06BA8jaIlCCCAAAIIIIAAAggggAACCCAQkgIEQEPysdFoTwQuXLggN9xwg6xZs0YGDBgg9erVk1y5+KfviWEg8x47dkw+/fRT6dixo3z33XfSpUuXQN6eeyGAAAIIIIAAAggggAACCCCAQJgJEAUKswdKdy4VGD9+vCxevFjmzJkjrVu3vjQDZ4JO4J577pEbb7xRHnvsMencubOE2zT/oAOnQQgggAACCCCAAAIIIIAAAgiEsQCbIIXxw6Vr/xPQwGedOnUIfobQP4icOXPKww8/LDt37pTNmzeHUMtpKgIIIIAAAggggAACCCCAAAIIBJsAAdBgeyK0x+cCJ0+eZFMdn6v6v8LixYubm+j6rSQEEEAAAQQQQAABBBBAAAEEEEDAWwGmwHsrRzkEEEAgwAJ///23JCUlmbvqqOYCBQoEuAXcDgEEEEAAAQQQQMBTgV27dsmePXtMsapVq0qxYsU8rYL8CCCAAAJZFCAAmkVAioe2wNGjR+W55567pBO65mR0dLQULVpUGjVqJG3btr0kjycndFOfGTNmyP79+0V/6dHNmHSn82BPY8eOlWXLlplmDhs2TGJiYtI1efLkyTJ79mxz7umnn5b4+Hhz/O2338qCBQvM8eDBg6VkyZLpyk2cOFHmzZtnzuXOnds8A34RTEfk9I1uEHXgwAFzrUaNGk7zcBIBBBBAAAEEEEAguAR0Rpr1O1y5cuWCq3G0BgEEEIgQAQKgEfKg6aZzAf1l5L///a/ziw5n77rrLhk9erTkz5/f4ax7h++9957069fPzqyBwUcffdR+H8wHM2fOlC+++MI08ZlnnrkkAPrrr7/afr169bIDoPPnz5f333/flHvkkUfSBUCnTJkid955p6SkpIiu9Tlu3Dg+BQ/mfwS0DQEEEEAAAQQQQAABBBBAAIEQFyAAGuIPkOb7TqBMmTJmsyStMS0tTZKTk83u8Rqo053kq1SpIkOHDvX4hj///LMpkzdvXpkwYYLo91AY/elxR90ooMHfO+64wwQ/dZTtJ598Il27dnWjJFkQQAABBBBAAAEEEEAAAQQQQAAB7wQIgHrnRqkwFGjTpo18/vnn6Xr2+++/S+PGjc05ncLuKgCqQdKoqKh0Za03upO5Jl2z8eabb7ZOX/I9szouyXzxxOXyu7ru6ryze/jy3KpVq6Rjx45y5swZU62OvO3Zs6cvb0FdCCCAAAIIIIAAAggggAACCCCAwCUC7AJ/CQknEPhHQNf/LFWqlDmxadOmfy5cPNq4caO0b9/erBOqm9FoXp0mb6XffvvNjPT866+/zKn169eb9w8++KCVRc6fPy/Dhw8XDb4WLlzY1HXNNdeITj13TMuXLzdldeSorsnZokULs0apljt37pwJLOo1rUsDtU2bNpV8+fJJtWrVZNSoUaaqjz76yNSh5zWo+9133znewq/HW7ZskXbt2omuYanpjTfekIceesiv96RyBBBAAAEEEEAAAQQQQAABBBBAQAUYAcq/AwQyEdD1KnXjIk1169a1cy5dulSuvfZaM01eT+paln/88YfoOphr166Vt956S3R90Q0bNthlTp8+bd5XqFDBnLtw4YLo2qKOgUiddq/TxK+//np54YUX5D//+Y/Jq+eturTM1q1bzfnU1FTJkyePaIBRr48ZM0a2bdsmOr1c69ddwzXQqJsV/fLLL6adWkZHtnbr1k0SEhLsEa6mQj982bdvn9x///32wu+DBg2Sxx9/3A93okoEEEAAAQQQQAABBBBAAAEEEEDgUgFGgF5qwpkIFfjhhx+kVq1aZpSk7tReokQJ6dSpk9HQncpfeuklc6zrg+rGPhqULF26tAksHjx4UB5++GFzXTc90lGfzZo1M6M1K1asaM5rAFVHb2pwVNOTTz5pBz+7dOkiOmJUd123dvfWAKgGWjMmDXDqVHy9z8CBA9Nd3rx5szmnIy2tXdY1gwY/dTf248ePy7vvvmvKnD179pKRpukq89EbXeNT22wl3ThJg7AkBBBAAAEEEEAAAQQQQAABBBBAIBACBEADocw9QkJAg4Z//vmnGUmpgcRDhw6JTm3XdTsXLVokV199temHToVfsWKFOdbdzNu2bWt2MX/xxRdFA6W6xuann35qprQ3adLE3jm+YMGCou91WrqmSZMmme8lS5aUiRMnylVXXSX33HOPfPDBB+a8Bgmd7VCvQVkNZmrA9cYbbzR5rS/FixeXl19+2UyP16n0RYsWNZc0mKsBVe2P4xT87du3W0WdfteRpO4mV3mtEbTx8fGmqsWLF9tBWHfrJh8CCCCAAAIIIIAAAggggAACCCDgrQABUG/lKBd2Ahow1E2QnnrqKbN+pnZQ1//UwKa1EZKec1wLdNq0aSYwqsFRDUxqAFSTtfGReePkiwYereCjBlh1Cr2VWrZsKbGxsebtmjVrrNP2dw2Uuko6pd2xrujoaJO1XLlyZlq8vtE26k70mnRafmZJp9dbSQO7GZPjOce8GfM9/fTTMn/+fPu+zz77bLpRoRnz8x4BBBBAAAEEEEAAAQQQQAABBBDwlcA/URdf1Ug9CISogAYPu3fvbjYSmjp1qgkk6tqaGnBcuXKl3Std29NKGkBMSkqyX7q+p25GpBsNZZYcd4wvVKhQuqwawLTK6zqeGZM1qjPjeX1vBTata1YwVEeGOiZXozUd8+ixFUDVY53ynzE5nrPanDHPgAEDzKjUypUry//93/+Zy6dOnZLevXtnzMp7BBBAAAEEEEAAAQQQQAABBBBAwOcCBEB9TkqF4SCgu6tbwToN8unGQ2fOnDFdszYx0jc9e/YU3d3deun0bj3WzYgySzois0yZMiaLrj3qmHSDor1795pTderUcbxkjjMGOR0zuApsujrvWNbZcfny5e3T3377rX2sBzr6U5cG0KT163qoztIDDzxgn37mmWfEmgo/a9asyzrZBTkwAhr8Vmd9WaONoUEAAQQQQAABBBAIbgEd8GD9Dpc/f/7gbiytQwABBMJUgABomD5YupV1AZ36rpsiadJNjXQNTU0NGza0g33jxo2THTt2mPPff/+9xMTEiAY3MwY1TYYMX3Squybd0V0Dg7rmqAY/dXMkK+mI1IzJcfRoxmu+ft+uXTt76vywYcPMcgC6MdP06dPNaFkN9mrSgLGrEaCObdI1SF977TX7lAaZdZd4knsCOoq2adOm5qWWJAQQQAABBBBAAIHgFyhbtqz9O5y11FXwt5oWIoAAAuElQAA0vJ4nvfGhgI60/OyzzyRXrlym1pEjR8ratWvNNHPdaEhHPWrwUoNS9evXl1tvvdXk06n0HTp0uGxLdBd3Ladp+PDhZmSkrjU6Z84cc+7++++X9u3bm+Ps+lK7dm17qrruGv+f//xHrrzySrP50ldffWWapWt/Pv/88243UUfTtmjRwuQ/evSo9O3b1+2yZEQAAQQQQAABBBBAAAEEEEAAAQQ8FSAA6qkY+SNKQAOS1ohMXY9Td1BPS0uTHj16yJQpU6RSpUpmKvjq1atFd1rXXdw1MOjOKE1dl3Pu3LnSrVs3s9nS+fPnja3W8/7778vHH38cFNajRo0yu7bHxcWla48GiHV91GXLlknz5s3TXbvcm3fffdferElHzk6YMOFyRbiOAAIIIIAAAggggAACCCCAAAIIeCWQ42IwJ82rkn4odOTIEdFdtdu2bWuCSX64BVVGoMBtt91mppfPmzfPL70/duyY7N+/X6pVq2ZPF/fmRjqaVKeRW2uDelOHP8vo/yq2X9y9/vDhw2aqf8WKFd0K9HrbJl1PVQOsuiyALjtAQgABBBBAIDMBXZ5Fl6LRnx0kBBBAAAEEEEAAAQQcBf43t9fxDMcIhJmAv2P8+seWvrKadDRpMCed8q9BT32REEAAAQQQQAABBBBAAAEEEEAAgVARYAp8qDwp2um1gI6qPHnypNflKZg9AtYzc2dzpexpIXdFAAEEEEAAAQQQQAABBBBAAIFQECAAGgpPiTZmSeBf//qXrFq1SjZs2JCleigcWIEvv/xSdJfMqlWrBvbG3A0BBBBAAAEEEEAAAQQQQAABBMJKgCnwYfU46YwzgZ49e8qbb74p119/vYwYMUIaNGhgb8DjLD/nsldA11QdPXq0fP755/LWW29J7ty5s7dB3B0BBBBAAAEEEEAAAQQQQAABBEJagABoSD8+Gu+OQMGCBWXOnDnSvXt36dq1qztFyJPNAvrMXnvtNenfv382t4TbI4AAAggggAACCCCAAAIIIIBAqAsQAA31J0j73RKoUKGCLFiwQDZv3mx2Mvf3xkhuNYpMTgWio6Olfv36UqBAAafXOYkAAggggAACCCCAAAIIIIAAAgh4IkAA1BMt8oa8QJUqVURfJAQQQAABBBBAAAEEEEAAAQQQQACByBAgABoZz5leIoBAGAisXLlS9u7da3rSokULiYmJCYNe0QUEEEAAAQQQQCC8Bf766y8zE0172bBhQyldunR4d5jeIYAAAkEoQAA0CB8KTUIAAQScCaSkpMiFCxfMJZZxcCbEOQQQQAABBBBAIPgEUlNT7d/h9JiEAAIIIBB4gZyBvyV3RAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAiNAADQwztwFAQQQQAABBBBAAAEEEEAAAQQQQAABBLJBgABoNqBzSwQQQAABBBBAAAEEEEAAAQQQQAABBBAIjAAB0MA4cxcEEEAAAQQQQAABBBBAAAEEEEAAAQQQyAYBAqDZgM4tEUAAAQQQQAABBBBAAAEEEEAAAQQQQCAwAuwCHxhn7oIAAggggAACCCCAAAIIIIBAUAkkJyfLxx9/LHPmzJGTJ08GVducNSZnzpxSpUoVeeCBB6Rhw4bOsnAOAQQQcCpAANQpCycRQAABBBBAAAEEEEAAAQQQCF+BQ4cOSevWrWXjxo3SvHlzKVKkiERFRQV1hy9cuCBTp041QdtRo0ZJr169grq9NA4BBIJHgABo8DwLWoIAAggggAACCCCAAAIIIIBAQAT69+8ve/fulRUrVkj9+vUDck9f3OT8+fMm8Nm3b18TwK1cubIvqqUOBBAIcwHWAA3zB0z3EEAAAQQQQAABBBBAAAEEEHAUOHPmjEycOFEGDRoUUsFP7UPu3Lnl/fffN9+//vprx25xjAACCLgUYASoSxouIIAAAsElUK5cOSlatKhpVP78+YOrcbQGAQQQQAABBBBAwKlAyZIlJU+ePOZaTEyM0zyBPnngwAHRkZS1a9cO9K19cr8CBQpIhQoVZPfu3T6pj0oQQCD8BQiAhv8zpocIIBAmAvrLs75ICCCAAAIIIIAAAqEjEBsbK/oKxpQjR45gbJZbbdL1StPS0tzKSyYEEECAKfD8G0AAAQQQQAABBBBAAAEEEEAAAQQQQACBsBVgBGjYPlo6hgACCCCAAAIIIIAAAggggID3AgsXLpS5c+fK4cOHpUGDBnLbbbdJdHS02xW6U153dv/ss8+c1lmoUCG54447nF7jJAIIIOCJAAFQT7TIiwACCCCAAAIIIIAAAggggEAECDzzzDMyfPjwdD1988035ccff5SyZcumO+/sjbvlN2zYIA888ICzKsw6nwRAndJwEgEEPBRgCryHYGRHAAEEEEAAAQQQQAABBBBAIJwFVqxYYQc/deRn165dRdfcXL16tTz//POX7bon5VetWnXZ+siAAAIIZFWAAGhWBSmPAAIIIIAAAggggAACCCCAQBgJvP7666Y3RYoUkdmzZ8uXX34p9957rzmnx7qLfGbJk/JWALRcuXJy8uTJdK8///wzs9twDQEEEHBbgACo21RkRAABBBBAAAEEEEAAAQQQQCD8BWbOnGk62aJFCylatKg51vU/NZ09e1YWLFhgjl198aT8ypUrTTV169aVAgUKmJGm+l1f+fPnd3ULziOAAAIeCRAA9YiLzAgggAACCCCAAAIIIIAAAgiEr4AGOJOSkkwHy5cvb3fU8Xjfvn32+YwHnpa3RoCuXbtWEhISzCZLVatWlc8//zxj1bxHAAEEvBZgEySv6SiIAAIIIIAAAggggAACCCCAQHgJ7N+/3+6Q447v+fLls8/v3bvXPs544En5nTt3ypEjR0wVemylzZs3S48ePcxU+yeeeMI6zXcEEEDAawFGgHpNR0EEEEAAAQQQQAABBBBAAAEEwkvgxIkTdody5fpnzJTjsWMeO/P/P3C85ljG8djKk5iYKI0bN5a4uDh55513zMjTqVOnmt3ftbohQ4ZIZsHWjPfmPQIIIOBK4J//m7nKwXkEEEAAgaAQSE5OlvPnz5u2FCxY0KyPFBQNoxEIIIAAAggggAACLgXOnDlj1s3UDDqiMnfu3C7zBsMFDUZaSaezW0n7YaWSJUtah5d896R8w4YNZfny5enq6NChg/z+++8m+Hn69GlZunSpdOnSJV0e3iCAAAKeChAA9VSM/AgggEA2CegumHv27DF3v+aaa0R35SQhgAACCCCAAAIIBLfAtm3bZNOmTaaROtoxPj4+qBusAcycOXNKamqqHD9+3G6r43GZMmXs8xkPslpe62vWrJldrePUePskBwgggICHAkyB9xCM7AgggAACCCCAAAIIIIAAAgiEq4AGP8uWLWu6t379erubGzZssI8rVKhgH2c88KT8lClTpFevXnLTTTeZ9T6tupYtW2Ydmo2R7DccIIAAAl4KEAD1Eo5iCCCAAAIIIIAAAggggAACCISjwL333mu6tWTJEpkxY4YcO3ZM3nrrLXOuYsWK0rp1a3N86NAh6d27t3n9/PPPNoW75U+ePCmjR4+WadOmyTPPPCP6XoOuX375pakrNjbWvpddOQcIIICAFwIEQL1AowgCCCCAAAIIIIAAAggggAAC4Srw0EMPSeHChU332rdvL8WKFZM//vjDvB8wYIC9Fr1Oi//444/Na/Xq1TaHu+VvvfVWadq0qSk3ZswYKVWqlNSpU0c2btxopuG//vrrEhMTY9fLAQIIIOCtAAFQb+UohwACCCCAAAIIIIAAAggggEAYCpQuXVp09GfdunVN71JSUswGTiNGjJBHHnnksj12t3zevHlFd32/5557TMDz1KlTkpaWJjrK9IcffpAePXpc9l5kQAABBNwRYBMkd5TIgwACCCCAAAIIIIAAAggggEAECdSsWVN0VKdOc9dX9erV7ZGfFkPlypVNwNJ67/jdnfKav0SJEjJ27FgZNWqUbNmyRXSHeT13uaSBUhICCCBBV3hSAABAAElEQVTgrgABUHelwiyfTlV44YUXZMKECXLw4EGXP7S87XaOHDm8LeqynO4meNttt8nzzz/PNAiXSlxAAAEEEEAAAQQQQAABBDIXsP5eu3DhQuYZL17Vv8P05W1yt3x0dLSZ/u7ufXRUqm64REIAAQTcESAA6o5SmOXRaQUtW7aUzZs3iy5OrdMLQuEHx9atW+Wjjz6SWbNmyaJFi6RgwYJh9mToDgIIIIAAAggggAACCCDgfwFdazN//vxmXc/OnTv7/4Y+vsPhw4dF/z5kiryPYakOgTAWIAAaxg/XVdfeeOMNs6i0BhEbNWrkKltQnu/Vq5c0a9ZMRo4cKUOGDAnKNtIoBBBAAAEEEEAAAQQQQCCYBfLkyWPW3dRNhlq0aCHXX399MDc3Xdt0R3odyBMVFSXdunVLd403CCCAgCsBAqCuZML4/I8//ig333xzyAU/9ZE0aNBAOnXqJNoHAqBh/I+UriGAAAIIIIAAAggggIBfBXRQyYYNG+SGG26QatWqSWxsrF/v54vKdcq+tjk1NVW++uoriY+P90W11IEAAhEgQAA0Ah5yxi4eOXJE/vWvf2U8HTLvy5YtK8uXLw+Z9tJQBBBAAAEEEEAAAQQQQCDYBAoVKiRz586V7777TubMmSMnT54MtiZe0h4d9amDeXQEaEJCwiXXOYEAAgi4EiAA6komzM9bi16HeTfpHgJhJaA7aVapUsX0iTVww+rR0hkEEEAAAQQQCGOBChUqSOnSpU0PCxQoEFQ91YDi7bffbl5B1TAagwACCPhYgACoj0GpDgEEEPCXQLD9wuyvflIvAggggAACCCAQTgK62ZC+SAgggAAC2SdAADT77IP6zkePHpUJEybImjVrpEyZMmZRbHc3TEpJSZHp06fLsmXL5MSJE1KvXj258847JV++fOn6rOu3fPbZZ+nOWW90OsYdd9xhveU7AggggAACCCCAAAIIIIAAAggggAACXgkQAPWKLbwLbdy4UW666SbZunWr3dHBgwebndcfe+wx+5yzAw2c6hSKmTNnprv82muvydSpU6VSpUr2eV28+oEHHrDfOx7oNBECoI4iHCOAAAIIIIAAAggggAACCCCAAAIIeCOQ05tClAlvgYEDB5rgp07T0MWlq1evLjqqU89v3749086/9NJLJvipa4y2a9dOOnfuLLquzJ9//in33XdfurKrVq1K9543CCCAAAIIIIAAAggggAACCCCAAAII+FqAAKivRUO8Ph39OW3aNNOLQYMGmSnq+j5XrlwmCPrWW2+57GFqaqp89dVX5rqO3tRp8JMnT5ZOnTqZcwsWLDBT4q0KrABouXLlzI6Duuug9dKAKQkBBBBAAAEEEEAAAQQQQAABBBBAAIGsCjAFPquCYVZ+1qxZkpaWZnrVsWNH812nrev6n0uXLr1kartj93PmzCnbtm0TDaIWK1bMvnTu3DlzXLx4cXHcxGXlypXmfN26dc35M2fOXLJOqF0JBwgggAACCCCAAAIIIIAAAggggAACCHghwAhQL9DCucjevXvt7pUvX/6S43379tnnnB3kzZvXbHpUtmxZWbx4sTz66KP2iNJ+/fqJBkmtZI0AXbt2rSQkJEh0dLRUrVpVPv/8cysL3xFAAAEEEEAAAQQQQAABBBBAAAEEEMiSACNAs8QXfoUdA5wakLSStYP7kSNHxN2Rmk899ZTotHdNTz75pOhGSlbauXOnaF2a9NhKmzdvlh49esiBAwfkiSeesE7zHQEEEEAAAQQQQAABBBBAAAEEEEAAAa8E/hmO51VxCoWbwIkTJ+wu6bqfVnI8dsxjXXf2vVChQmY0qF57++235YUXXjDriOr7xMREady4scTFxck777wjSUlJZpd43f1d05AhQ8RxNKo5yRcEEEAAAQQQQAABBBBAAAEEEEAAAQQ8FCAA6iFYuGfXgKSVzp49ax2aUZ/6RgOhjut72hmcHPz444+i09zfeOMNU16DmvPnzzc5GzZsKMuXL5eDBw+KTo2PjY2VDh06mNGfmuH06dNmzVEn1XIKAQQQQAABBBBAAAEEEEAAAQQQQAABtwUIgLpNFRkZS5YsaXf0+PHjlxzrdcd1PO0MmRz07NlToqKiTI4JEyZkklOkWbNm9nXHqfH2SQ4QiGAB/cBg69at5uX4AUUEk9B1BBBAAAEEEEAg6AUOHz5s/w536tSpoG8vDUQAAQTCUYAAaDg+1Sz0STcjstL69eutQ9mwYYM5tqao2xccDrZv3y66c3y9evVk9OjR9hVdVzQlJcW8t4I2U6ZMkV69eslNN91k1vu0Mi9btsw6NBsj2W84QAABs16ubhqmLx0lTUIAAQQQQAABBBAIfgHd38D6He7o0aPB32BaiAACCIShAAHQMHyoWenSrbfeKgULFjRVjBgxQvQTynHjxplPLPXkfffdZ1c/ZswY6d27tzzyyCPmXHx8vJnivmbNGhk+fLiZ/q7reD7//PN2mZYtW5rjkydPmiDptGnT5JlnnhF9rwHXL7/80lzXKfGtW7e2y3GAAAIIIIAAAggggAACCCCAAAIIIICANwIEQL1RC+MyhQsXlj59+pgezpkzR2JiYqR79+7mfZkyZaRbt2527+fOnSsff/yxaCBUU+7cuUWDppq2bNkiDRo0kPLly4s17f2aa66Re++911zXQGvTpk3NsZYvVaqU1KlTRzZu3Gim2L/++uvm3iYDXxBAAAEEEEAAAQQQQAABBBBAAAEEEPBSgACol3DhXEyDmIMHD5bo6Gh76nqTJk1k4cKFkjdv3ky7/uCDD5qRndZaojr1XQOjutGRbopkrR+q9UydOlXuuecec05HmqalpUnFihXlhx9+sDdDyvRmXEQAAQQQQAABBBBAAAEEEEAAAQQQQOAyAgRALwMUiZdz5MghQ4cOFd0Ead26dZKYmCi6NmelSpXScejUeA1aJicnpzuv0+R13c/tF9cE1fIa3HznnXfsqfVW5hIlSsjYsWPlxIkTotPmdW0c3eBFd4MnIYAAAggggAACCCCAAAIIIIAAAggg4AuBXL6ohDpCS0BHZLqzgYru3F6rVi2vOqdBVMcNlTKrREea6vR3d9OZM2fMqFJ385MPAQQQQAABBBBAAAEEEEAAAQQQQCByBRgBGoHPvm7dujJ79mw5d+5cyPX+/Pnz8ssvv5id5kOu8TQYAQQQQAABBBBAAAEEEEAAAQQQQCDgAowADTh59t9w4MCBcuWVV4puRDRy5EipXLmy6IjNYE461V6nxw8aNMhMrbd2iw/mNtM2BBBAAAEEEEAAAQQQQCBQAt9995188skngbpdyN2nYMGC9ga9Idd4GowAAlkWIACaZcLQq6BRo0byzTffyP333y81atQIqQ4UKVJEvvrqK3sH+ZBqPI1FAAEEEEAAAQQQQAABBPwkoANGZsyY4afaQ79a/VuShAACkStAADRCn/0tt9wibdu2lVmzZpnNh4KdQUeoxsXFSZs2baRw4cLB3lzahwACCCCAAAIIIIAAAghEpEDevHmldOnSEhMTI2fPnpWkpCQ5dOhQRFrQaQQQCB4BAqDB8ywC3pJChQpJly5dAn5fbogAAt4J5MyZU/SlKdiXrfCuh5RCAAEEEEAAAQTCT0B/b/PV73C6H8J7773nFGnLli1OzwfqZJUqVeTGG2+UmjVrSq5c6UMNBw8elEWLFsnMmTOzbS+KU6dOSceOHZ1ylCpVSj766COn1ziJAALhIZD+/0rh0Sd6gQACCISlQMOGDUVfJAQQQAABBBBAAIHQEdBlx3y19FhycrLs3bvXaeePHz/u9Ly/T2qw8+6775bmzZubW+XJk8eMAI2OjpYLFy7IkSNHzPnOnTtLq1atZNSoUZIdwdrU1FSXdgwu8Pe/EupHIPsFCIBm/zOgBQgggAACCCCAAAIIIIAAAhEmoMFBT1NKSoroBrHBkqKiouSxxx6T6tWriwY8mzRpYjbZtUa8Wu3U4Ozy5ctl27Ztopvy6ijW9evXW5cD9t2VnZ735nk4ztAKWCe4EQIIeCVAANQrNgohgAACCCCAAAIIIIAAAggg4J3A+fPn5ZFHHvG48Pbt22Xnzp1Oy50+fdrpeX+e7Nq1qwl+FitWTG644QYTBHV2P93H4brrrjNBz8WLF8uDDz4oQ4cOlcTERGfZ/XJOR4C6stN1Sh9++GGP73vTTTe5nFbvcWUUQAABvwr8bzE5v96CyhFAAAEEEEAAAQQQQAABBBBAIJwEEhISpGXLlpIvX75Mg5+Ofa5Vq5bUrVtX8ufPL//+978dL3GMAAII+FWAAKhfeakcAQQQQAABBBBAAAEEEEAAgfAT0BGfunZm48aNXY78dNZrXdNep8s3atRI4uLinGXhHAIIIOBzAQKgPielQgQQQAABBBBAAAEEEEAAAQTCV0DX/qxTp47od9393ZOkmyZVrVrVFKlfv74nRcmLAAIIeC1AANRrOgoigAACCCCAAAIIIIAAAgggEHkCxYsXN1PfS5QoIRrQ9DSVLl3aFImPj/e0KPkRQAABrwQIgHrFRiEEEEAAAQQQQAABBBBAAAEEIlNANzXSpGt5epN0Crwmqx5v6qAMAggg4IkAAVBPtMiLAAIIIIAAAggggAACCCCAQIQLJCcnGwHdzd6bdO7cOVMsO3au96a9lEEAgdAXIAAa+s+QHiCAAAIIIIAAAggggAACCCAQMIHDhw9LamqqJCUleXVPLa8pMTHRq/IUQgABBDwVIADqqRj5EUAAAQQQQAABBBBAAAEEEIhgAR25uXXrVtGRoPv37/dYYsuWLabMunXrPC5LAQQQQMAbAQKg3qhRBgEEEMgGAf0lc/ny5eZlTTvKhmZwSwQQQAABBBBAAAEPBPbs2WP/DmeNfPSgeNBmXbhwoWmb/n6alpbmdjt37NghBw4ckH379snmzZvdLkdGBBBAICsCBECzokdZBBBAIIAC+gvz3r17zctaNymAt+dWCCCAAAIIIIAAAl4IHD9+3P4dLpzWvFy8eLHs3LnTBDOXLFnilsyRI0dk3rx5Ju/EiRM9Cpy6dQMyIYAAAi4Ecrk4z2kEEEAAAQQQQAABBBBAAAEEEPCDQK5cueT+++/3uOb58+eboKOzgvph+alTp5xd8ss5HfU5atQoefbZZ2X9+vWiwd1mzZq53BleZzPpqFHdOGnGjBmyZs0av7TLVaU5cuSQ4sWLO70cFxfn1fOIj493Wh8nEUAg+AQIgAbfM6FFCCCAAAIIIIAAAggggAACYSygwbimTZt63EOdDVSgQAGn5U6ePOn0vD9PHjp0SF577TXp16+fuY2OCK1UqZKUKVNGoqOj5cKFC6KB2W3bttkbJk2bNk0mT57sz2Y5rVvNXdkVLVrUq+fh9EacRACBoBQgABqUj4VGIYAAAggggAACCCCAAAIIIBD8ArrG6dChQ6VDhw7SunVr2bRpk3llbLkGR3Xa+4YNGzJe4j0CCCDgdwECoH4n9v0NdGrBL7/84vuKI6jGtm3bmk8kI6jLdBUBBBBAAAEEEEAAAQRCXKBVq1ZSvXp1p70YM2aMjBw50uk1f5/UDTq//fZbmTp1qtSpU0fKlSsnMTExcvbsWTPyU6fI79q1y9/NyLR+HZE6btw4p3ny5Mnj9DwnEUAgfAQIgIbgszx48KB07tw5BFsePE3W3QYrV64cPA2iJQgggAACCCCAAAIIIIDAZQSKFCki+nKWSpQo4ex0QM/pYJ1ly5aZV0Bv7MbNoqKipGbNmm7kJAsCCISjALvAh+NTpU8IIIAAAggggAACCCCAAAIIIIAAAgggYAQYARqk/xB06oAuFu0sJSUlOTudrefKly8vjRs3lmrVqplPJHWB6SNHjsjff/8tK1askB07dmRr+zLefNKkSeLqE1JdALtjx44Zi/AeAQQQQAABBBBAAAEEEAhagccee0z69u0btO3L7obp36gkBBCIXAECoEH67L/++mv566+/nLbu3LlzTs9nx0ld16Vr167SsGHDS24fGxtrppm3a9dOVq5cKePHjzdB0UsyZsOJsWPHSt68eZ3eWafGEwB1SsNJBBBAAAEEEEAAAQQQCFKB3Llzi75ICCCAAAKXChAAvdSEM24K6KjPRx991CxuXaBAAXux60KFCpkaTp48KbrT39q1a6VBgwZSqVIleffdd4NuNKib3SUbAggggAACCCCAAAIIIIAAAggggEAIChAA9eND0xGP3o7W3Lp1q9ktz1nzLly44Ox0QM/pNHEr+Km7EDZr1kxy5Ur/z6lw4cJSu3Zts9D04sWLZePGjdK/f3956aWXXE7vD1Qnjh49ekl7rXvr4tiff/659daj7/qJq46IJSHgDwH9b8r6f0rG/978cT/qRAABBBBAAAEEEMi6gA4WiYuLMxXly5cv6xVSAwIIIICAxwLpI1YeF6dAZgK6+11ycnJmWVxeS0xMFB1B6SylpqY6Ox3Qc/fcc48Z+VmjRg1p0aJFpvfWgKLm0TVXNmzYIN27d5e33nor0zL+vqjPJWdO53uA6flFixZ51QSdVk8A1Cs6CrkhoGvs6ouEAAIIIIAAAgggEDoCOnNOXyQEEEAAgewTcB4Byr72cOcQENA1MuvUqSM61V1HfrqbNK+OYKtVqxZBHHfRyIcAAggggAACCCCAAAIIIIAAAgggkCUBAqBZ4ovMwk2bNjUdr1u3rujoTneTjqysV6+eyW7V4W5Z8iGAAAIIIIAAAggggAACCCCAAAIIIOCNAAFQb9QivIyu+akpISHBYwmrjFWHxxVQAAEEEEAAAQQQQAABBBBAAAEEEEAAAQ8ECIB6gEXW/wnoBki6AUt0dLTHJLrod548eUTrICGAAAIIIIAAAggggAACCCCAAAIIIOBvAQKg/hYOw/p1KrtuaORt0rKuNiDytk7KIYAAAggggAACCCCAAAIIIIAAAggg4EyAAKgzFc5lKnD06FE5f/68nD17NtN8zi6eO3fOlNM6SAgggAACCCCAAAIIIIAAAggggAACCPhbgACov4XDsP4tW7aYXu3atcvj3u3evduUserwuAIKIIAAAggggAACCCCAAAIIIIAAAggg4IEAAVAPsMj6P4EVK1aYg7Vr10paWprbLJp3zZo1Jr9Vh9uFyYgAAggggAACCCCAAAIIIIAAAggggIAXAgRAvUCL9CLr1q2TrVu3SlJSkqxatcptDg1+JiYmyvbt22X16tVulyMjAggggAACCCCAAAIIIIAAAggggAAC3grk8rYg5S4vUKlSJa/WydSaly9fLmfOnHF6k5SUFKfnA3ly7Nix8vTTT8vvv/9uNkSqX79+prfX4Kf2SdcA1bLZnXQnet3J3lkqVKiQVK1a1dmly57TekkIIIAAAggggAACCCCAAAIIIIAAAsEj4DwCFDztC+mW9OvXz+v2r1y50uVO6RpE3Ldvn9d1+6Lgnj17ZNSoUfLQQw+JTmffuXOn1KtXT+Lj4+3AogZqNZ+O9jxw4IAJfn744YfizdqhvmizYx3FixeXvHnzOp6yjytXriwDBw6033OAQLAI6AcJ1n/7zZo1k8KFCwdL02gHAggggAACCCCAgAuBv//+28yg08v6N1OpUqVc5OQ0AggggIC/BAiA+ks2AurVqfDDhw+Xnj17mt7OnDnTBG2jo6PNqNBTp05JamqquaabH3366acmUBoBNHQRAb8I6Icf1shw678tv9yIShFAAAEEEEAAAQR8JnDhwgX7d7hgmM3ns45REQIIIBBCAgRAg/RhXXvttXLFFVc4bd3Ro0dFNyAKhqSBzRdffFEaNWokTZo0kWrVqon+UM+RI4ecOHFC9NNOnfquU+U92TDJ3327/vrrJTY21ult4uLinJ7nJAIIIIAAAggggAACCCCAAAIIIIBA6AkQAA3SZ3b//fe7bNmOHTtk5MiRLq9nxwUNcOpLU1RUlPkezJ9u9u3bV3SqOwkBBBBAAAEEEEAAAQQQQAABBBBAILwFCICG9/PNlt4Fc+AzW0C4KQIIIIAAAggggAACCCCQicDhw4fNzLnTp09nkotL2SmQM2dOSUhIMOu4Zmc7uDcCCHgnQADUO7dsLaVTt4NtBGi2gnhxc90EiYQAAggggAACCCCAAAIIZLfACy+8YPZWOHv2bHY3hfu7IaDLv40fP16qVq3qRm6yIIBAsAgQAA2WJ+FBOwoVKiT/93//50EJsiKAAAIIIIAAAggggAACCASbwCuvvCJDhgyRAQMGiC6Dpn/r6UhDUvAJ6Cakuuyb/i3epk0bsy9H4cKFg6+htAgBBJwKEAB1ysJJBBBAAAEEEEAAAQQQQAABBPwncO7cOTPy88EHH5TXX3/dfzeiZp8JlCtXTmrXri01a9aUTz/9VPr37++zuqkIAQT8K8BHS/71pXYEEEAAAQQQQAABBBBAAAEELhHYtGmTHD9+XG6//fZLrnEieAWqVKki9evXN2u2Bm8raRkCCGQUIACaUYT3CCCAAAIIIIAAAggggAACCPhZQEeAasqfP7+f70T1vhYoUKCAsGarr1WpDwH/ChAA9a8vtSOAAAIIIIAAAggggAACCCCAAAIIIIBANgqwBmg24nNrBBBAwBOBMmXKmIXxtUy+fPk8KUpeBBBAAAEEEEAAgWwSiIuLszc28mTTnK+++koWLVp0Satz584tBQsWlAoVKki7du0kPj7+kjzunti2bZu89957ZnOfokWLSosWLUJiw93ExESzeZT2s3nz5nLXXXel67KOzrQ2Dq5Xr5488MAD5vrJkyflqaeeMse6m3vPnj3TlTt27Ji88MILYo3OdVZ3ugK8QQCBkBEgABoyj4qGIoBApAtoAJSEAAIIIIAAAgggEFoCxYsXF315mubMmSOjR4/OtFhsbKxMmDBBrr322kzzObt46tQpad26tezYscO+nCNHDjtwaJ8MwgMNVP73v/81LdNgZcYAqJ6zrnfq1MkOgJ4+fdo+f8cdd6QLgJ45c0ZuvvlmWbhwoam3adOmZpOqIOw+TUIAAS8ECIB6gUYRBBBAAAEEEEAAAQQQQAABBAIlcPXVV9trhaakpIhuoLRz5045fPiw3HTTTZKUlCTR0dEeNWfjxo128FM3YurXr5/oKNBITBcuXDCbUVnBzwYNGsiMGTPs2VeRaEKfEQg3AQKg4fZE6Q8CCCCAAAIIIIAAAggggEBYCXz22WdSsWJFu09WwG7y5MmiIxfnzZsnN954o33dOtB8uXI5/7NfA6hW6t69u5n+br3P+D2zejLmTU1Ntaf8Z7xmvdcgblRUlPXWfHenXLoCPnqTlpYmvXr1kqlTp5oaa9WqJb/88kvEBoN9xEo1CASdAJsgBd0joUEIIIAAAggggAACCCCAAAIIuBbQoOYNN9xgZ9ARoVbSQOIrr7wiNWvWlLx585o1QnW69969e60s0rVrV3n00Uft93379pUrrrhC1q5da59bunSpCQxWrVrVrD9fvXp16d+/v5w4ccLOowc9evQwZQcMGCAffvihme5frlw50TVMf/75Z3NN6963b5/07t1bSpUqJTExMSZge+DAAXO+S5cuUqRIESlRooR069ZNdHp+oNKgQYPk888/N7erVq2azJ4926slCwLVXu6DAALeCTj/KMi7uiiFAAIIIIAAAggggAACCCCAAAJ+FtAg5Pjx4+271K1b1z6+7bbbZNKkSeZ9zpw5TeDz22+/NYG9JUuWSJUqVUQ3P9q9e7ddxhoNqmtkavr111/NBkuOgUgNsurr+++/l99++03Kli1r8uoaohs2bJDk5GRTp47uPHLkiLmuAU69pknXG/3rr7/MiFQdUTp9+nSzdunx48dNOW2r9ksDp7qJ0cSJE005f3559dVX5fXXXze30ACsrrtasmRJf96SuhFAIJsEGAGaTfDcFgEEEEAAAQQQQAABBBBAAAF3BK6//nrRqdk1atQwU+F1U6X58+ebojoS1NoESadxW8HPPn36yP79+2Xu3LlSunRps07okCFDTJkxY8bIyy+/bN/63XfflWXLlpl76EhRnU6vwU8drfnGG2/IypUrRevTIKUGS/U4Y9JAaMOGDWXcuHHyxBNPSMuWLdNl0UCnjjDVndit0at//vmnyaPrkW7ZskXq169v3v/000+iU9P9mXTZAGtHeL3P0aNHZc2aNf68JXUjgEA2ChAAzUZ8bo0AAggggAACCCCAAAIIIIDA5QQ2b94sGizUEZTbt28X3eVcg6Ea0LTWrtQ6dPSkJp0iP2zYMImLi5NWrVqZaeV6XkeNamBTp8frSFAr6fT2Jk2aSIECBWTmzJn2NPfBgwfL448/bgKTH3zwgR3U1ADl1q1breL2948//ljuvvtu0ZGVuqO8Y3r66aeldu3aZlq+43qlGoTU+1eoUMFex1TXNdXgrauUsW5X+fS8q7w6OlWTBoc1sKtJA7sZp/ibC3xBAIGQFyAAGvKPkA4ggAACCCCAAAIIIIAAAgiEs4CO0HzvvffkqquuMt3UoF6nTp3kueeek9y5c9tdt9YC1QBo586dRXeP19ePP/5o8uj6oHv27LHzOzvQEaNW6tixo3VovmudVso4WlKDp/Xq1bMuX/LdcRMnxx3rExIS7LyFChWyj63p+PYJh4M8efLY73TKfcbkeM4xb8Z8Oo1fp/vfd9995pKObnUcFZoxP+8RQCB0BQiAhu6zo+UIIIAAAggggAACCCCAAAIRIHDTTTfJww8/LAsWLDBraer0cB1lec8996TrvU4vt1JSUpKZ9q7fdYSjbkSkL52KnlmydmfX746BSi3j+F7X8XRMuoZmZkk3ZLKSNeJS3+t0fiu5Gq1pXbe+O7ZD1x7NmBzP5cuXL+Nl816n9+uan5UqVTLLAVjt15GuCxcudFqGkwggELoCBEBD99nRcgQQQAABBBBAAAEEEEAAgQgS0KCkrrFZtGhR02ud0v7pp5/aAjqNXJMGGHVNz/Xr15uXHuv6m/q+cePGJo+rL1deeaW5pKModaq7Y5oyZYr9tk6dOvaxHjgGONNd+P9vXAU3XZ13Vod1LjY2VgoWLGje6q7thw8fti6Z7xootlKZMmWsw3Tfr7nmGtEd7jXpUgG6nIAmDS736tVLdBo+CQEEwkeAAGj4PEt6ggACYS6gu2Hqmk360ulLJAQQQAABBBBAAIHgF9D1Oq3f4TKOmvSm9fHx8aJT4q00YMAAe73MDh06mNM6AlLzaBBTXzoNXgOG7du3l8u1oUWLFlbVZpTpzz//bDYu0vpmzZplrjVr1kyqVatm59MDa+RoupN+fNOuXTtT+6FDh+TWW28165uuXr3aLBWgJla6+eabrcNMv+sIWx0hq0mXEnj++eczzc9FBBAILYFcodXc4GytTjNYtWqVZLZGSXC23H+t8uZTPP+1Jntr1ikXuhaO43o22dsi7h6qAvqpvbVmk35ibU3TCdX+0G4EEEAAAQQQQCASBHR3c2ttTh19qQHMrKZu3brJhAkT5IcffjC7lz/22GPy9ddfm5GLo0aNMhsm6aZD77//vtkwSTf80b/RHn30UbNBUmb31w2SPvzwQ7MhkI4Y1UCjrjN6/vx5U0z/rhk9erTLzYUyq9uX14YOHWoCsrp7u+7orq+MSTdbstZNzXgt43tdN/Wdd96RNm3amEuvv/663H777dKoUaOMWXmPAAIhKEAANIsPTXfWe/nll8VxjZEsVknxMBTInz+/6C8gukg5weEwfMB0CQEEEEAAAQQQQACBAAtokFI38NE1Pr/55hvp0aOHCVYuWbJEHnzwQdHp6rt27TIjMzUIeO+995oRoO40s3fv3lK4cGF588035Y8//jDBTw0QXnfddSY46rhxkTv1+SOPBmp1IJJOV9e1PB1nSOn6ntoH3cXek6T9u+WWW2TSpElm5Oz9998vy5cvT7fRlCf1kRcBBIJHIMfF9S3SgqU5R44ckWnTpknbtm2lRIkSwdIsl+3QwOezzz4r/fr1k+7du4vueue4mLPLglyIKAEdIazr9Lz99tvy4osvmiBoRAHQWZ8JrFixghGgPtOkIgQQCDeB6dOnS0xMjNsjfcKt//QHAQSCV2DDhg1OR4BqYFFHFy5atEh0SrmvkwYEdfSprm+ZlZlDOthn27ZtUqVKlcuu8+nrPrhb37Fjx2T37t1m3c7KlStnqb/u3LNVq1bGVUfhkhBAIDQEGAHq5XPSHwLDhw+Xvn37mmHyXlZDsQgR0F9s9BcQ/Tfz+OOPm2B5hHSdbiKAAAIIIIAAAggggIATAWsskvXdSZYsndLBOdYmP1mpSHdcr1WrVlaq8HtZ/QBMXyQEEEDAlQCbILmSucx5XQtFR/bp2iskBNwR0H8rGjjXdRxJCCCAAAIIIIAAAgggENkCOsVcU2JiYmRDhGDvDx48aJYICMGm02QEIlaAAKiXj153Y9ak095JCLgjoLsuajpz5ow72cmDAAIIIIAAAggggAACYSygU8orVqxolsq63M7sYcwQcl3TJVd0WQNduo+EAAKhI8AU+NB5VrQUAQQQQAABBBBAAAEEEEAgTAR0c1Tddbxz587SokULs0mRNSo0TLoYVt1ISUmRlStXygcffCDXXnut2SE+rDpIZxAIcwECoAF4wLpxiX5KtHr1atGh8tWrV5crr7zS/IDTnfRI3gkcOnTILDytpXXayJAhQ0xF+gtEmzZtzDFfEEAAAQQQQAABBBBAAIFgFejQoYPMmDFDnnnmGbO/RLC2k3b9T6Bo0aLy8MMPy0svvcQGyPyjQCDEBIi++fGBnT9/Xp5//nkZMWKE6KdFVlq4cKF88skn8u6778r48eOlZs2a1iW+uyGwfft2GThwoAl+6qdvmnTXv//+97/muHz58gRAjQRfEEAAAQQQQAABBBBAINgFdPCGvnSprNOnTwd7cyO2fbqplI7Q1ZG7JAQQCD0BAqB+fGb6ydDHH39s7lC8eHHzQ00DodOmTZNTp06ZEaG9e/cWDYiS3BNQPw0Y6y8HDz74oF0oT5489s6Eak1CAAEEEEAAAQQQQAABBEJJIF++fKIvEgIIIICA7wUIgPre1NT4xx9/yOjRo81xkyZN5Mcff5QSJUqY9/qpnq7xonl+/fVXmTx5snTp0sVpS3QxbE+myaelpYm+9NOpzJLWq59cRUVFZZbNXPOkDampqZe99+VuqO3XAGf+/PkvyWpd0wuOn7yVK1dO1q1bd0l+b0+422dPHL1tC+UQQAABBBBAAAEEEEAAAQQQQAABBLwXyDxK5n29EV/ylVdeEQ0Ganr77bft4Ke+18CeTtfWtSpff/11qVGjhp6209KlS6VXr15StWpV8wmgrhnav39/OXHihJ1HD3Qa+BVXXCHdu3eXHTt2SKdOnSQ2NlZiYmKkffv2sm3btnT5jx8/Lk899ZToFHH9ZFFHTZYpU0b69et3yVQLbbv2QUdb5s2bV+Lj4+WOO+6QvXv3pquzR48epg0DBgyQDz/8UHT0pQYjX375ZXNe2zdq1Kh0ZZKTk6VBgwbm+qBBg+xrH330kX2/6Oho0Ve7du1Ep7xrWrt2rdStW9cc65dvvvnG1PHDDz/Irl277PtZgWc11Ps3btxYzp49a5fTA11sXK/VqlXLrt/dPnvimO6mvEEgiwL6/4LmzZubV8GCBbNYG8URQAABBBBAAAEEAiGQkJBg/w7HbLVAiHMPBBBAwInAxRF1QZMOHz6c9sUXX6QdOHAgaNrkqiEXp62nXeRMW7VqldMsF4Nr5nrJkiWdXnd1UustUKCAKav1O74uBi7TLgb67KIXA5Lm+sUfqGmlSpUyxxdHdNplqlSpknZxyrid/8Ybb7SvabsuBkvt9xeDoHY+PbjlllvsaxdHk9rHxYoVS/v777/tvK1atTLXtA2O9543b17axQCuuVa7dm07vx7oM7b6dXE5AHNtzpw59rmLIzvTHO+pbb0YdEy7GBi281jl9ftnn32WtnnzZvvaq6++aup0vM/EiRPNOeuL1bamTZtap9zusyeOduUXDy6OUDVtnDt3ruNpjhFAAAEEEEDABwL6O8Vvv/3mg5qoAgEEEEAAAQQQQCDcBBgBejGC5uukIwm3bNliqtXRkO4mHV15Mbhm1ge9GNCUN954Q1auXCl9+vQx08p37txpjjPWp6M/LwYZRa/rbugtW7Y0WS4GBWXNmjXmeP/+/WbtUX2j65Lqe807ePBg0U8kdQTlxQC0yTt16lSZNGmSOdZ7a96LQTspXbq0JCUl2butmwz//4u2oWHDhjJu3Dh54okn5OqrrxZd31STTk3X6f7/r707gZ9zuvc4fmINsQUJrTUESSNBo5bWEkHRlNuSlGjUXr16camdonqpLTRSt9Zam9p6G1tjS9FaQ6utJZUQJCKWSKRBEDz3fH/tGc/M/5n5z0zO/Of5z/9zXq/5z8yznOc87+fM/Gd+c5aQrr32Wnuo4+6yyy72WOeq7vhDhw61cr377rvWMlUrfUDcPfnkk9ZiU+UISS1e//jHP1pr17AsfT98+HDnA7a2KBxTTx599FHng7i2PJSx2nOuxdEOwB8EEEAAAQQQQAABBBBAAAEEEEAAgaYKEABtAL+6qocu17UMYn3fffcVurkrMHn00Ue7TTfd1Gmm8xDUvOuuu9y0adPalFrdxxVsXWmllaz7fNjgrbfesodLLrlkYczMM844w7rC63gnn3yydQHXOKTqPq80btw4u9fYo2eddZbNtu5berrvfve7tlwz12sSp9KkwOqoUaOcb4Fpx1L3eHWzV7ruuuvs/rXXXnMTJ060xwcffHBhvFAFIN977z03fvx4K4f/pcGtueaatp3+KDirLr8aOzUkBWTlEsZWDcvDvbru77///vZ0woQJ7u2337bHvsWo3S+//PJun332scfVnnMtjpYxfxBAAAEEEEAAAQQQQAABBBBAAAEEmipAALQB/BqDM7Q8nDlzZtVHSLdu3GOPPYr203ihIYVWneG5ApV9+vQJT20M0PBEkwkpqTz77befPVaZFKRU60st993draWprfR/pkyZYg+Vr46r1py6aSInJbVwLT0v323fbbLJJrY+/NH4NnvttZc9VYBREwaphaj2V2vPgw46KGxq948//rg7/fTT3cCBA13Pnj3dCSecUFivfepJoYWnjq0yyOPmm2+2rPbdd1+ncitVe861OFrG/EEAAQQQQAABBBBAAAEEEEAAAQQQaKoAAdAG8WuyEiW1eFS38dKkru3aRkE+P46orVZQUEn3mgAondLPFcxLp9JWpuVmjdfkQJqoSJMChRnUNSGRWn9uueWW7qmnnrJs1RIzJJU93DSzvCYO0k0TAaWTWp5mpcMOO8wWq/WlWpz6cTntubr6a2KlkDSh0w477OAuuugia+2p1qFqBRtSe7Pah+1K72Ws1qtKCoCqpem8efPseQiO6kkt51ytox2EPwgggAACCCCAAAIIIIAAAggggAACTRUgANog/m9+85uW88KFC22m99LDKLinVofnnXdeoUv4VlttZZv5iYucurqn0+233154qhaS6RSCmellWY8VWNWs6n6CABtn87e//W2hhabKqa7tSuuuu67dK+g4adIk99xzz9lNjzUTu54riJpO6m6elbbffvvCLPeaGf7555+3zdLBR7UmHT16tC1XwFRBY3XpV6vTkLICoNW2Cg1BWI0jOmbMGMty8ODBNmZpyL+Wc67WMeTNPQIIIIAAAggggAACCCCAAAIIIIBA8wQIgDbI/phjjnF+FnbL/Wc/+5k78sgj3WOPPebuvfdeG0szBDg1ruWBBx5o26XHt1QX9XvuucdaJo4dO9bdf//9ts3WW2/tNtxww5pLrWCnuntr4iEFGzXep7q+X3DBBYW8NCamUgjeqnWojq2ArG4KSKq8u+22m3VnL+zoH4TWq+ll4XEIdj788MO2SGN7Ko+QJk+eHB5a+UJAV93lQwpjjqp1a1ivyZEUuNWYq5WSzrNXr15O44oq+Kt06KGHFu1S7TnX4lh0AJ4ggAACCCCAAAIIIIAAAggggAACCDRFgABog9jVIlIzj2s2dyUFEr/61a/auJvpCXduuummwuRD/fv3ty7qCvCplaVaaypQqeCpJlVSgFLdr0MAsJaiK+Co4KeSJj5SN3Z1Ode90gorrFCY5OiQQw4pLD/ppJNsfFF1V9dM7hpDU+Up183eMiv5o4mI0t30NfZnOmC62Wab2blpt9NOO82M1CIzHQANExhpmzDe6W233WZDBcikUtJETAf4CZlCUhBX43+mU7XnXItjOn8eI4AAAggggAACCCCAAAIIIIAAAgg0R4AAaAPdFfBUl3EF2zSpTzqpa7gmPdJYmOmk1pIKkG6xxRYWZFQLRwUbNWGR8lKQtJ6kMUQffPBBm6VdM5mr1aWeL1iwwAKzapm6wQYbWNbLLLOM04REI0eOtFajM2bMsC7zOp9LL720qPVmNWVREHfEiBG2qbqya3zPdNLEQup+v9pqq1nLUpVFAVLdb7zxxrapZnEP6cwzz3Shy726wYfWoWF91r1cQ+BYM7+H1q5h22rPuRbHkDf3CCCAAAIIIIAAAggggAACCCCAAALNE+jmuwUnzTt88ZHnzp3rfv/737udd97Z9e7du3hlzp6pO/e2225rExiVzn5erqivvvqqdddWC8Yw+3i5bbVcXdBffvll60ofAn6Vtq92nVpxKqipe7UKVevPckkBxpdeesm6kJeb6KjcvrUu1+ROOpZs1E2+UpLNtGnTnFqKqkVnzFTtOdfiqPKpVa8Cugp8h4mZYpabvBBAAAEEEOjKAvqxdMUVV7QfdruyA+eOAAIIIIAAAggg0FZgibaLWFKLQC3x49AFvdr81dpwwIAB1W5e9Xbqjh5ae7a3k1psVrtte3m1t14tXTVrezVJNqF1aDXb17JNtedci2Mtx2dbBMoJvPPOO4UWzxpeQ8M7kBBAAAEEEEAAAQTyLTBv3jynm9Kqq65qw3jlu8SUDgEEEGg9AQKgdV7T0Opwzpw5debAbl1NQMErpVB3utr5c76LLqAW4TNnzrSMNIwGAdBFNyUHBBBAAAEEEECg0QKvv/66mzJlih1m8803JwDaaHDyRwABBDIEGAM0A6WaRWp9qG76v/jFL2x28Wr2YZuuLaCJsPSL76BBg7o2BGePAAIIIIAAAggggAACCCCAAAIIdKAALUDrxFZ37dGjR7v99tvPZmvXfenEOnVmzW4tJjB//nx3ww03uHvuucddc801tNprsevL6SCAAAIIIIAAAggggAACCCCAQL4FCIAuwvUZNWqU0ziQp5xyigVCFyErdm1xgb59+7qbb77ZjRgxosXPlNNDAAEEEEAAAQQQQAABBBBAAAEE8iVAAHQRr8fw4cOdbrNnz7ZZ1RcxO3ZvQQEFydX1nYQAAggggAACCCCAAAIIIIAAAggg0PECBEAjmRPgigRJNggggAACCCCAAAIIIIAAAggggAACCEQUYBKkiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAAQQQQAABBBBAIKIAAdCImGSFAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RJgFvh8XQ9KgwACCJQVGDx4sNNNqVu3bmW3YwUCCCCAAAIIIIBAfgT69evndFPiM1x+rgslQQCBriVAALRrXW/OFgEEOrEAH5g78cWj6AgggAACCCDQZQX4DNdlLz0njgACORKgC3yOLgZFQQABBBBAAAEEEEAAAQQQQAABBBBAAIG4AgRA43qSGwIIIIAAAggggAACCCCAAAIIIIAAAgjkSIAAaI4uBkVBAAEEEEAAAQQQQAABBBBAAAEEEEAAgbgCBEDjepIbAggggAACCCCAAAIIIIAAAggggAACCORIgABoji4GRUEAAQQQQAABBBBAAAEEEEAAAQQQQACBuAIEQON6khsCCCCAAAIIIIAAAggggAACCCCAAAII5EiAAGiOLgZFQQABBBBAAAEEEEAAAQQQQAABBBBAAIG4AgRA43qSGwIIIIAAAggggAACCCCAAAIIIIAAAgjkSIAAaI4uBkVBAAEEEEAAAQQQQAABBBBAAAEEEEAAgbgCS8TNjtwQQAABBBol8Morr7i5c+da9htttJFbdtllG3Uo8kUAAQQQQAABBBCIJDBr1iz3xhtvWG59+vRxK620UqScyQYBBBBAoFoBWoBWK8V2CCCAQJMFZs+e7aZPn263jz/+uMml4fAIIIAAAggggAAC1Qi8++67hc9w77//fjW7sA0CCCCAQGQBAqCRQckOAQQQQAABBBBAAAEEEEAAAQQQQAABBPIjQAA0P9eCkiCAAAIIIIAAAggggAACCCCAAAIIIIBAZAECoJFByQ4BBBBAAAEEEEAAAQQQQAABBBBAAAEE8iNAADQ/14KSIIAAAggggAACCCCAAAIIIIAAAggggEBkAQKgkUHJDgEEEEAAAQQQQAABBBBAAAEEEEAAAQTyI0AAND/XgpIggAACCCCAAAIIIIAAAggggAACCCCAQGQBAqCRQckOAQQQQAABBBBAAAEEEEAAAQQQQAABBPIjQAA0P9eCkiCAAAIIIIAAAggggAACCCCAAAIIIIBAZAECoJFByQ4BBBBAAAEEEEAAAQQQQAABBBBAAAEE8iPQLfEpL8WZP3++mzhxovvoo49ct27dOqRYn332mR2ro47XISfFQRAoIxBe7tT3MkA5X6z3q3ANF1tssQ57n8w5S9niBSvqe1kiVrSQQDPq++abb+7WW2+93Cg+8sgjbvr06W7xxRfvkDI1w7xDToyDLJKA6oVu+t/D/59FomypnfUZTjclvUdRN1rq8i7SyYT3DH22JyEQBEK9aNX/Jaussorbcccdw+l22H2uAqA667ffftu98cYbHQbwzDPPuNVWW8317t27w47JgRBolsCUKVPcsssu69Zcc81mFYHjItBhAq+88or79NNP3frrr99hx+RACDRL4PXXX3fz5s1z/fv377AirLHGGm7llVfusOO1d6BPPvnETZ48ub3Noq2fOXOm04/3/fr1i5YnGXV+gQULFripU6fa/54ePXp0/hPiDKIJqF50797drbXWWtHyJKPOLzB79myn/+EDBw4kMN75L2e0M9APJs8++6x9b8/TZ61YJ6iYRDO+oy0R6wRi5dOrVy+nW0el5557zq2++upuwIABHXVIjoNA0wTUMkZvoPoHS0Kg1QXmzJnjFi5cSH1v9QvN+ZmA6roCL135/X2JJZbo0PP/8MMP3ccff9yhx6S6519A/3sU6FLraBpY5P96dWQJZ8yY4Xr27Ml7Rkeid4JjqYEKAdBOcKE6uIhqxKEAqH5s7tu3bwcfvXUPRzvr1r22nBkCCCCAAAIIIIAAAggggAACCCCAAAJdXoAAaJevAgAggAACCCCAAAIIIIAAAggggAACCCDQugIEQFv32nJmCCCAAAIIIIAAAggggAACCCCAAAIIdHkBAqBdvgoAgAACCCCAAAIIIIAAAggggAACCCCAQOsKEABt3WvLmSGAAAIIIIAAAggggAACCCCAAAIIINDlBbolPnVlhY8++sgtvvjiTjOHkhBodQHNVtutWze35JJLtvqpcn4I2AzwYqC+Uxm6gsAnn3ziNGPo0ksv3RVONxfniHkuLkPuCvHZZ585fd5aaqml3GKL0dYkdxeoiQXic3gT8XN8aP3vXrhwoevevXuOS0nRmiHw4Ycf2vcYxatIcQS6fAA0DiO5IIAAAggggAACCCCAAAIIIIAAAggggEAeBfhZMo9XhTIhgAACCCCAAAIIIIAAAggggAACCCCAQBQBAqBRGMkEAQQQQAABBBBAAAEEEEAAAQQQQAABBPIoQAA0j1eFMiGAAAIIIIAAAggggAACCCCAAAIIIIBAFAECoFEYyQQBBBBAAAEEEEAAAQQQQAABBBBAAAEE8ijQUlOfa0b3W2+91T311FNu7ty5boMNNnCbbrqp23XXXW2m91ovwOzZs924cePc1KlT3YIFC9yAAQPcZptt5oYMGVJrVmyPQEME/vGPf7hbbrnFvfrqq65Hjx5u4MCBbujQoW699dZb5OM9/fTT7pJLLnFbbrmlO/TQQxc5PzJAYFEFYtX3Dz74wF1xxRUVizNs2DDXt2/fituwEoFGCsSq76GMjzzyiHviiSfcCy+84Lp162b/J/bZZx+39tprh024LxGIeQ3eeecdd/PNN7uXXnrJvfnmm653796uT58+bu+993a9evUqOTJP8ywQ+/tG+lzvuusud91117kzzjjD9e/fP72KxzkUiPke0ch6lUO6li5SzHpRCsV7RKlI53ke+zX+wAMPuD/96U/utddec5999pl9ntt6663dzjvv3HlQmlDSlpkF/t1333WHH364mzFjhjGuvPLKbs6cOfZ4u+22c6effrpbaqmlqibWl4RTTz3Vffjhh7bP8ssv7+bPn2+Pv/GNb7jjjz++rqBq1QVgQwTaEVCwf8yYMbbVcsst5z7++GO7LbPMMu6cc85xX/7yl9vJofxq1fUDDjjAvfXWW26nnXay10/5rVmDQOMFYtb3v//97+6HP/xhxUL/z//8j9t+++0rbsNKBBolELO+L1y40I0dO9b97ne/s+KuuOKK9tlGH8QXX3xx+6yj93lSsUDMa/Dggw+6s88+235Ml/kqq6ziFBD99NNPnf5nn3DCCW7HHXcsLgDPcikQ+/tG+iSfeeYZd+SRR7pPPvnEXrNqxEHKr0DM94hG1qv8CrZmyWLWi1Ih3iNKRTrP85ivcX1+O+6445waKymtsMIKdv/Pf/7T7vW/47zzzrPPF7aAP8UCSYukY445Jtlmm22SH/3oR4mvYHZWPhqe7L///rb8/PPPr/pM/S/zyW677Wb7/fznP09mzpyZ+A8jyWOPPZaMGjXKlvsvE1Xnx4YIxBbwAZxk2223TXxrz+Shhx5K/K8+iQ+AJr51idXPHXbYIZk1a1bdh/U/GFg+ek35Vgh158OOCMQQiF3f/YdTq99HHXVUctttt2Xe9L5PQqAZArHr+6WXXmr1/dvf/nby17/+NfFBN/tMc80119hyH/xM3njjjWacam6PGfMa6LOob41h1ldddVXif1i389b95ZdfXrgG06dPz60HBftcIOb3jc9zTZK//OUvye677271QZ+9/Bfb9Goe50wg5nuETq1R9SpnbC1fnNj1Ig3Ge0Rao/M9jvkaHz16tP2vUFzKtzYuYEyePDkZOXKkrTv33HMLy3lQLNASY4A+//zzbtKkSRblVqsdtW5QWmONNdyFF15oLRwmTJhQaMFZHAJu++zuu++2bbX/EUcc4b74xS9aHltttZX73ve+Zzvo13wSAs0SuPbaa51/KTv/xufUwlndGZdcckk3YsQIN3z4cKcWP+PHj6+rePfee6+bOHGiW2mlleran50QiC0Qu75rWBMlDRexxx57ZN70vk9CoBkCMev7+++/by0/F1tsMetSu8kmmzg9VitE/wOxDRWkni7+h7RmnGpujxnzGtxxxx3W8lOtbA866CC39NJL23nrXsPLaFglXQNtR8q3QOzvGzpbDclywQUXWMtPDd+l1ycp/wIx3yMaUa/yL9iaJYxZL4IQ7xFBovPex3yNqz7cfvvt9r/izDPPdBtttFEBpl+/fu6ss86y53feeaf9fyms5EFBoCX+y4ZgpLordu/evXByeqCu8FtssYV1DVYQtJqk7u7aR8HO0g8ivtWdZaHxm/RBhYRARwvojU8Bf6VddtmlzeHDMr3xqRtVLcm3ArIfDRT8978g1bIr2yLQGy1SEAAANwpJREFUEIFG1PcXX3zRypr+0NCQwpMpAjUKxK7v+iFMQVD9MDZo0KA2pfEtEpzvOWNjnLdZ2UUXxL4GoYta+PxYyqpxtpXC+1Lpep7nRyD29w2d2SGHHOJ8TwS37LLLutNOO83Ghc3PGVOSLIHY7xGNqFdZ5WZZYwVi14tQWt4jgkTnvY/5GtcwCBo+Z6211sr8f6GxxTWuuBpKTZs2rfOiNbDkLREAfe6554wofIgs9VIwU8k3Sy9dlfncdxNzvmmx01ifpSlUJLUO6tmzZ+lqniPQcAHfvN3e1PTGl9VKTb/+KIg/b94857vUVV0eDZ6sFtSa8OvHP/5xmx8Tqs6IDRGIKBC7vutHAb2PL7HEEoXJwjRmjsbTISHQbIHY9V2TQir5LrWZp7bxxhu7b33rWwRAUzqxr8HFF1/sbrrpJqdeRFkpjFdPr4ssnXwti/19Q2enceH0w7UfkoKJK/J1ucuWJvZ7RCPqVdnCs6JhArHrRSgo7xFBovPex3yNK66lFqB+eMdMEH3PUQxAic8VmUSuJWaB92O1VbzI4eKHCZKyKSov1Zdj/YrvxwS1DRUkJSHQDIH26rvKpDqviYxU56udEX7cuHHub3/7m3WLHDBggM0U3Izz45gIpAVi1/dXX33VhojQzNeq85oYRpORqLW/lu23337u61//eroIPEagwwRi1/fZs2db2fv27etU99UTRu/zGiZFLaA1AzmzwBdf3tjXQF3ds36s1FH1RSX0TtL/XVK+BdqrG/V837j66qvdaqutlu8Tp3RFAu3VA21cy+fw9vKrp14VFZgnHSLQ3nVUIWqpF6HQvEcEic57317dqOU1rmHvKjXC01B2mhhZQ0KqRyeprUBLBEDVvUspVJ7S0wwzY4XtSte391xj8+gDqiqTxs065ZRT3K677trebqxHoCECoR6Xq+86aK11/oUXXnBXXnmlfSE+wM/+TkIgLwKx63sY/1Oto1XnV111VTd48GD3yiuv2O2nP/2p8wPNuxNPPDEvBJSjCwnEru9vvfWWBfdffvllq9P6YUzjRSsAqvd9fVBWXWcG8s8rWexr8HnObR9ddtllzk+SZF9Shg0b1nYDluRKoL26UetnL50cwc9cXeKqCtNePVAmtdSF9vKrJa+qToCNGiLQ3nXUQeu5lrxHNORydWim7dWNeupF1gm8/vrr7pe//KWt+v73v29zhGRt19WXdfou8Oq2q8HjldTtNystt9xytrjeLo76MqwvyeoyqTEXNI6DxkokIdAMAY0xo1SuvmtdqPPhtaFl5ZJeFxpEWcF9dX1XPSchkBeB2PU9jLOn18/YsWOtBaha9qsl6NFHH20fFu666y57n8+LAeXoOgIx67vy0k2tBTTW54Ybbuiuv/56m+RO9V3D/Oh/xDnnnOM0rjnpXwIxr0El0xtvvNHpptbnJ598MsPOVMLKwbqO+L6Rg9OkCFUIxHyPoF5VAd5JNolZLzrJKVPMKgQ66jWu3mz6rKchE9RNXpO8krIFOn2kQx8cl1lmGRu3sFyAMyxfaqmlshXaWfrrX//avkCoxcR1111n4/RoXK2LLrrIDRw4sJ29WY1AXIEePXpYhmqRXC6FOh9mmy23nZZfcsklNlboUUcd5dZZZ51Km7IOgQ4XiF3fNfO1Wrupa0i6W6qCRHvuuae1AlVw6IYbbnBDhgzp8PPlgF1bIGZ912cWJf1wq25QGi9KrT+V9KPuSSed5NRCVJ9nNHPt8ccfb+ta/Y8msMz6/6lJaPTDSMxrUM7y8ssvt2C0PsOeeuqpmRNUlduX5Y0RUJ0oN7mpJpToiO8bjTkzco0tEPM9gnoV++o0L7+Y9aJ5Z8GRYwt0xGtcvdqOPfZYN2vWLPelL33JGjbFPo9Wyq/TB0B1MfRBXmMdqmtXVgrLwxtT1jaVlumLsZK+OBx88MFOzYvVbUxfGNQ9noRARwqovitp4pZyqdo6/9hjj1nLt80339zttdde5bJjOQJNE4hZ33USCnD079+/7PnstNNO9ppQl2H9aqsPLiQEOkogZn1XkF8//Cqwo4mOQvAzfS4K+isAOmXKlPTiln6sng4aB7U0aWx3tZ6IeQ1Kj6GgtFrc6jOkro1m/d5+++1LN+N5EwSeffZZpx+Cs9Idd9xhw2ypbjTy+0bWsVmWP4HY7xHUq/xd43pKFLte1FMG9smnQCNf45rkW0MZ6bu/vs9rQuN6Y1751Itfqi4RAA2BokoDxtZCu8MOO9iHV42fRUKgowXCP9gQ5Mw6frV1fvz48bb7888/36apfGhF+tBDD7ndd9/dWsypVRwJgY4UiFnfqyl3GGtJQSON2VNpqIlq8mMbBGoRiF3flZ9+tE23dk6XJwyQr1YDXSUp8JjVOyIEiGNfg+Cq/9kaQ14Tamq8LwVC6UUUdJp/rx+7suqFShYaQqhuVAqAVvvZq/lnSwkWRSD2ewT1alGuRn72jV0v8nNmlGRRBRr1Gv/DH/5gAU/9uLrLLrtYIJSh7Nq/Wi0RAO3du7ed6bRp09xWW23V5qy1XKlSq5/0TmrZqQ84hx56aObg5OFDMhUsrcbjjhII9V11VG94oT6G48+bN8/NmTPHWq5tsMEGYXHmvcb91E3BzhDwDBsmSWIPNUutvrhpOxICHS0Qs76r7LfccovN+q6J7NZdd902pxPGQlSAguBnGx4WNFggdn1XfgqAapKvr33ta21Kr7GilNZbb70261p1wYUXXljx1GJfAx1MgbEjjzzSvfTSS27NNdd05513nltrrbUqloOVHSuw6aabuvvvv7/iQUPdiPV9o+LBWJlbgVAPYnwO10mG/KhXub3kVRUsXMdY9aKqg7JRpxAIdSPma1w9E/RZQunAAw90Bx10UKewyEMhW6JvX5i9NOuDi7owKjqupA831aRJkya5e+65x6nlW1bSr/dKmlCAhEBHC6glT79+/dx7773nnnjiiTaHf+CBB2zMN22jMc0qpbPPPts96Cf1yrqFrmB6fWl9aC1aKT/WIRBbIGZ9V9n0f0LjOuuHrqz08MMP2+IBAwZkrWYZAg0ViF3fw+ejJ598MrPc4fMMLRE/54l9DfRjorqnKfi50UYbuUsvvZTg5+fcnepReD3F+r7RqU6ewhYEYr9HUK8KtJ36Qex60akxKHyRQOzX+OOPP27juqt3gj5fEPws4m73SUsEQNXqUy15pk6d6iZMmFB00vqiq1mxNLnLlltuWbTukUcecffdd5/TWG/pFCqpviDPnDkzvcq6Lt100022TONFkRBohsDIkSPtsFdffXXR2Lea0OI3v/mNrRsxYkRR0dTFUfV94sSJRct5gkDeBWLWdw1hoqQfxhSQSKc///nP1kJUyzTeMwmBZgjErO+a6X2VVVZxqtuaxDGdVP81C7la92e1Dk1v29Uex7wGaqXxzDPP2NiimohKY7OSOqdA7O8bnVOBUksg5ntEvfWKK5E/gXrqhc6iXEwif2dIieoRqPc1nlUv1GNTE3Hrx9VDDjnEDRs2rJ4idel9WqILvKLf6q6uweTVok0Tu6jrrz5w6rG6CGt20zCGT7jiY8aMsdmytG+fPn3CYqfApiLr2nffffe1AWU322wz9+KLL9qXZlW4vffeO7O7fSETHiDQQAFNmqAhHSZPnmxvfgrqqKu6WiUo4K8vs0OHDi0qgSZ9OOuss+zLbgjyF23AEwRyKhCzvuuHgUcffdR+zDrggAPc4MGD7ab3d7WeVjr88MOtpVZOOShWiwvErO8a71IT+/zkJz9xV1xxhfUa+MpXvuJmz57t7r77bhv6RK0HaPFcXKliXQN9UVGLTyWZV/rhvG/fvu7KK68sLgjPciUQ+/tGrk6OwtQkEOs9Qgett17VVGA27hCBeuqFClYuJtEhheYgDReo9zWeVS9uvfVWG9pIhf7Vr35lt3InoAmRttlmm3Kru+zylgiA6uptt912Fg1XAFRfYsMXWbUMPfroo92gQYOqvsiqpKowakl3/fXXO3WJ101JYzgcccQRbsiQIfacPwg0Q0AtdsaOHWt1XrPJqqWzkpYPHz7cHXbYYcxe3YwLwzEbIhCzvisvjZmj18y4ceOsZZxaxylpTD6N06dfakkINEsgZn3XOejz0WWXXWaT7uiHYc0YqqSAm2aHp/WAcRT9iXUN1MMoPWHhp59+WnSc9BP9iEnKv0DM7xv5P1tKWE4g1ntEyJ96FSQ6933setG5NSh9WiDWa1wNmkKq9JlC22goSFJbgW6+NeO/Zjppu67TLlELOA1ArGDl6quvvkiBIH0gfe2119zcuXPd2muvbV3JOi0MBW9JAdVRdWXUS1kBnB49erTkeXJSCEggZn1XXpogRhPBaBKY5ZZbDmQEciUQs77rxD744AOnQfg1+3vPnj1zda55LUzsa5DX86RctQvE/L5R+9HZIy8Csd8jqFd5ubKLVo7Y9WLRSsPeeRLgNd7cq9GSAdDmknJ0BBBAAAEEEEAAAQQQQAABBBBAAAEEEMiLQEtMgpQXTMqBAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJqv60FpEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCiAAHQiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAAQQQQAABBBBAIKIAAdCImGSFAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJqv60FpEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCiAAHQiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAAQQQQAABBBBAIKIAAdCImGSFAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJqv60FpEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCiAAHQiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAAQQQQAABBBBAIKIAAdCImGSFAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJqv60FpEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCiAAHQiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAAQQQQAABBBBAIKIAAdCImGSFAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJqv60FpEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCiAAHQiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAAQQQQAABBBBAIKIAAdCImGSFAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJqv60FpEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCiAAHQiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAAQQQQAABBBBAIKIAAdCImGSFAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJqv60FpEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCiAAHQiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAAQQQQAABBBBAIKIAAdCImGSFAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJqv60FpEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCiAAHQiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAAQQQQAABBBBAIKIAAdCImGSFAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJqv60FpEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCiAAHQiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAAQQQQAABBBBAIKIAAdCImGSFAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJqv60FpEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCiAAHQiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAAQQQQAABBBBAIKIAAdCImGSFAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJqv60FpEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCiAAHQiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAAQQQQAABBBBAIKIAAdCImGSFAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJqv60FpEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCiAAHQiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAAQQQQAABBBBAIKIAAdCImGSFAAIIIIAAAggggAACCCCAAAIIIIAAAvkSIACar+tBaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgogAB0IiYZIUAAggggAACCCCAAAIIIIAAAggggAAC+RIgAJqv60FpEEAAAQQQQAABBBBAAAEEEEAAAQQQQCCiAAHQiJhkhQACCCCAAAIIIIAAAggggAACCCCAAAL5EiAAmq/rQWkQQAABBBBAAAEEEEAAgYYIzJ8/vyH5xsh04cKF7uOPP46RFXkggMAiCui1+Nlnn7Wby5w5c9zcuXPb3S7vGzTrfD/88EOXJEneedqUb8GCBW2WlS7Qub399tu5el8nAFp6lXiOAAIIIIAAAggggAACCLSAwOzZs93o0aPd4MGD3XLLLedWWGEFu99kk03cOeec4957772mn+UDDzzghgwZ4lZccUXXvXt3t/vuu7tx48a5zTff3J155plVl++FF16wffbcc8+q92mVDevxqnTuU6dOrbS6U61TPdItD3U9DVeP8ZtvvulOOukkt8suu7hBgwa5b3/72+6WW26pGKisdZ/p06e7HXbYwS2//PL2fjFy5EinIGdWev75512vXr3cBRdckLV6kZfVWnZd46OOOqri7e9//3tRuZpxvgp4XnbZZa5v375u2WWXtffkPfbYw7388stFZav1ya233ur2339/9+Uvf9ltu+227thjj3U6v0rpqaeecvvtt5+9RnbccUd32mmnuWeffbbsLhdddJH74he/aOVW+X/729+W3fbAAw+0c8zVD28en4QAAggggAACCCCAAAIIINBCAnfeeWey8sorq2mR3Xr06JFsuOGGiQ9sFJb17t07+etf/9q0s54xY0bSs2dPK88SSyyR9OvXLznuuOOSCy+80Jb5L9BVl+3Pf/6z7bPBBhtUvU+rbFiPV9a5f/LJJ8mJJ56Y+GB51upOuSzUf99KMRflr9d4woQJyaqrrmp1vFu3bskaa6yR6F7nt++++2aeW637+FbYyfrrr58svfTSyRFHHJHo9bf44osn22yzTWb+e+21V7LSSislPkCauX5RFtZadh3rT3/6k3mEa5517wN2hWI163yPP/54K+eSSy6Z+GB24oPI9vwLX/hC4n+0KpSv2gcffPBBMmLEiMK5+x+6Ev+Dkj33Adbk6aefzszq4osvLtQhXcdlllnG9tH/iD/84Q9t9rn66qtt/cCBAxP/A1riA6D2/P7772+z7d/+9jfL2wdU26xr5gI1tyUhgAACCCCAAAIIIIAAAgi0iMBNN91U+GL7H//xH22+AD/88MOJbxVnX14VBH3xxRebcuYqp4IUq6++elEQxbcKtQDMDTfcUHW5unIAtB6vLFgFX3Q9llpqqazVnXJZCILlJQBaj/Ebb7xhgUady/DhwxPfrdiuhfJSEFLLf/aznxVdn3r2ufHGG9vkdcwxx9iy0oCYXm8KwP70pz8tOm6MJ/WUXccdO3asldW3ZEx8C8vM27Rp0wpFbMb56vhy0+2ZZ56xsnz00UfJxhtvbGX3rd4L5av2gW8VbPvqB6/x48cnn376aeKHL7DH+oFp7bXXTnxr2qLsHnnkkWSxxRazoOf//d//2fYqx89//nMrm4Lgr7zyStE++oFK+SngqqR6qO222267ou30RP93VJ558+a1WdfMBQRAm6nPsRFAAAEEEEAAAQQQQACBiAJqVanWPAqKbL/99vZlOCt7BYT0hVbbjRo1KmuThi8LLRf32WefRT5WVw6ALjLevzOoJzgX69iNykf1W7fOHAD9wQ9+YOewxRZbWKAqbaVWjHodK5ilFpAh1bNPaJn40EMPhWwStZiU35gxYwrL9OAb3/iGtUj13ZuLlsd4Uk/ZddyDDz7Yynr55ZdXVYxmnG/w9EMYFJXx9NNPt7L7LuxFy9t7ovd7tSTVNVKr/9J0/fXX27qdd965aNVuu+1my3/yk58ULdeTI4880tapNXhI77//vi3zwyOERXav1qAKiqbTE088YduWBuXT2zTrMWOA+ppCQgABBBBAAAEEEEAAAQRaQcB3a3TvvvuuW2WVVdyvf/1r5wMjmaflg6TOt96ydXfccYftU7qhJibygUXnv0S73/zmN+65555zvgtv6Wb2fPLkyU7jcCr5L7fuH//4h7v22mud8n799ddtefijsfqU12uvvWaLtL2eKw+ld955x56X7mcr//1H219zzTXOd+90vsVTelXmY03oojL5Vqfmov3L7VfLuWQdTOXX2HjXXXede/zxx80jazstq6Vc5fLI8grLfODPdvvnP//pfFdV96tf/cpp3L/SCadmzZplPto4XA8ZlU6EU0t5NUbklClT7Pi+NZnVI98CzvmWZnZ9tb5c0gQqOn6oU+nttE5jOWr8yyuvvNJpHFmVv5akc9S10TXSTSY+yFNLFkXbqq76VpLOB9/s2qt89RoXZeyfPPbYY7bohBNOcL7lYNFqP3SEO+SQQ+w63XzzzYV19ezjW+vZ/hqPNySNHazkg+NhkfOtB93vf/975wNkNn5lYUWkB/WUXYf2w3lYCTTmcTWpGeercTOV9LrQayIkvc8q+cByWFTVveqt3qd9ININGzaszT7f/e53bTxXvfbDNdSYnPfcc4/VJY3/WZrCMr22lLeS3j+U0nVDz1U/9P8m/X/h1FNPdauttprzwyhok3wl/8InIYAAAggggAACCCCAAAIIdHIBH5xK1lxzTWt9c95557V7NhqPUK11fKCmzbY+wGFjhvpvr5ZfuFdrM+1TmjRupLqy+6BmoTtn2EfdPU8++eREx1PS+H5hXfpeY9AphZahWWOAqlv8OuusU7T/l770pUJLtawxQP2kHomf+KloHx1X3U41Vl1pquVc0vtqPFUdR+ebPi8/KUnmWKu1lit9rPTjLC8/MY2V4dJLLzVPtRBMl2mjjTYqOvf//M//LFoftk238Ku1vOpKr+636mKrsSRDnueee27iA/T23Ach06dSeKxya3sf1Cks0wMflEk0xmHIK9zr/P7rv/6r0D037BTWp1uA6jqF1s9hve419qHGOawlqQWexnFM5xMeazzNdGvKaoxLj63XtJ8czPL3AfzS1fb8d7/7na1X3VOqZx/td9ZZZ1k+9913n55a8sFhWyb3kPykZYnGqwxdocPyGPf1ll0tYdUdW3VOXbmV/I8AFcvYjPPV+YXhR7761a9a+dRSUnXGBw0rljfLN+xbqRV9eO9TPVGaOHGiHU/vAeVSGD86dNNXueX7ta99rWiX9dZbz/7nhIUPPvig5a2u9HlMdIHP41WhTAgggAACCCCAAAIIIIBAjQIaXy4EXxRkrDdpTMkQxNt7770TdaP0rTkTP+u05a9gVjpIouMoaKibgpMKemksu1/+8pdFk3NcccUVViSNLacvyH7mY8tPX6r1/Be/+IWtzwroaYVvGWYBDh3/v//7vy3oqUCvAq/6cq5zLw2ATpo0qRBA0niJvlVs4luzJupqqu21n29FZccNf2o5l7CPzklBIeWpCUlk9r//+7/JVlttZcv8zMmJb6UYNk/qKVdh55IHWV4hAKogr66lAiS6Hr51ViGArOsUgtIa4zEEhOSr66FbCI7XU14Fo9Q9VsFOTcKl66xgnm/5Wehmq8l2spKCQ7L0M1sXVqu7rpZpMqDDDjvMjHXuQ4cOTTSJltadf/75he31QMt0CwFQ35It0bXQMuWh4KzqwwEHHGB1S8s1jmI1SXnq/LSPgoJnn312onFt1YU7/BChsoZAYXvG5Y6pcXp1DA3zkJUUnNR6BdBCqmcfjQ2sfL73ve9ZvVAgUV2lZetbLFrWet1rm/BaDceLeV9P2X2LWyuXAtsalzS8FlWX9QNJ1njCzTpfWer1IMcwsZWCoq+++mrNjHqPUT6777572X1DXdTrX0njo2qfcpNbaRsFR7VNetKonXbaybrb+5bZ2iT54x//aNuovoSk17iO51tph0W5uicAmqvLQWEQQAABBBBAAAEEEEAAgfoEwhd6fXGt58u0jqoA0brrrmtfbEePHt2mIGeccYatU6Ax/SVXQUMdVzPNa7y4dPrhD39o6xQMTCcFL7WPAkbplBXQSweuFLBKJ7U6DTMppwOgarUUApBZY92FIKGCbelUz7koyKJz0Vh+6aQAY//+/W2d7JTqLVc63/TjLK9wbipTCDyHfV566SVr7ah1d999d1hsM1BrWekkSPWWV/koP9Un303WjrNgwQK7VytMrdN1U+u9dNKkXFqnwGlozaf9wjX2Xb3Tm9vjUMdCK8iwgfLRLQRANU6inmt83NIUJvzRBC7VpGCscRBDIDnsp4l8Qqvb0PJO6+oZZ1VlVZnLjanouznbegXzQ6pnH+37ne98x/JSAEwBch03PRbklltuaQH0cF3C8WLe11P20FJV5dVtjTXWSDQZUgh2a5nGCC1NzTjfmTNnJl/5ylesnCqX3qPS76WlZaz0XD9WKQ+9NvQeWZr8EBKFH7NC/dGPBNrnW9/6Vunmhedbb721bZNuEf3kk08mmlVeAXFNfKT6rWD19OnTbT/1GlC+CrDmNREAzeuVoVwIIIAAAggggAACCCCAQA0Ct912m30B1RfT0oBMtdkouKQvsWpJlZWHWgT26dPHtvFjMBayDUFDtRQtTaHVWLqFmrapJQAavuiXBrjCsdT6TuVOB0DV4k7LFAzJOhcFDEL3YrUuDanWc1GwWccp14X13nvvteBLaIVWb7lC+UrvKwVA1UVVAczSpJZaKnNoFab15YJz9ZY3BEDVnT0rbbbZZlaGu+66q2h1CLJrMpaQVDa1dtN1zkp+jEPLa6211iparXPULQRA1bpTzxWwVp7ppPrgx3+tOhilY6rVbLlu/Gphp2NdddVVhcOUMy5skPHAj9tq+ajVoGbvTie10AuttXUfrnU9+yhfzSCulr+a5GjPPfe0FtPheOH9JX0+CoSqZWq9P7iEvNP39ZQ9BK/VdTs97IA8LrnkkkIwOt2iWMfs6PPV+2N4fwmtVBVQVNfxepICp3rPUz0bOXJkEn5gUF6q8yGYrPXhx5nTTjvNtj/ooIPKHjJMkiS7dFLrTwWSNRmSXp9+7FtbLWcN9aH3m9BqXCsU7FUL+9AKOp1XMx4v4SFICCCAAAIIIIAAAggggAACnVxAEx8p+S+jzgcknP8yWvMZhYmIfHdH57uPttnfzzjs/Jdf9/LLLxcmLUpv5AOn6af22Lcks3v/xbjNumoX+LE6bVMfVMrc5etf/7rz44wWrQuT7PgWiM7PkF20LjzxXcRtAhxNkORbYoXFdl/tuYTJV3yrLufHMS3KQ0/8DMx2CysWtVwhn2rufUu+NhPnaD9dE01mU801WdTyZjmqDH6MV5vEygeGiyZ/0fOw3h74P6rbfgzN8NTufYDHJpPx4xQ637LTlvlAd9E2pU9UdzWRi87JB45s4phdd93V+XE8ne+O7MqVtTQfPfctDO0W1mlSLb0uNHGTJljyLW1tVXtlCvuXu/fd851MfCDa+ZZ3TuXVZDqaJEqT22iymbFjx9pkNz4IatnUs4929D+euKOOOspu6fL4YJX78Y9/7HwLb+eHj7BVmuhLj8PkUdtuu60bN26c812g07vW/LiesmviHT/Mg9WT9PuePA4//HC73j6Y58455xznh8IolKkjz1cTkGnCKh3Tt653vtWy0/usb7nvfEtU95e//MX5H2ucb4Fs7yN+lnrng4qFsmY98K1+nf+Bwen9TxPV+fGZrU5q8iL/w4vzwVXLzwevCxMYhYmMfLA0K0tbFtb5H4iKtvE/HNjEY0UL/RM/lISVXxPf6X+EJpjyw6fYZEvaVu+LF110kfPDTpTu2rHPmxF15ZgIIIAAAggggAACCCCAAAJxBdS12X+btJuffb2uzDVWpPJQ995ySWPsaRs/W3Bhk9CqKXSHLKzwD3xQyLb3M8+nF9fUAlQTIumYoRtnUUb+iboca326BagP5NgyLW/vdsoppxSyrPVcwtiUPtBSyKPSg3rLVS7PSi1Ay7XyCmOgqrVfSOVaJ9Zb3tACNKtO6JiapEbbqFttmGzp0UcftWu16aabhmIV7tWKV2Ns+mCPjfuavqZqRafnalWXTmGb0AJU6zSxi1qqhXW6V6tptYrVGLG1JI39qvFo1Q0+nG/IN5Qp3SW4nHF7x1RLv6OPPrpoMim1bNYwFZocSccsbf1azz7lynHjjTfaMXyA0zbReMM6Px+ITbROrQrVBV/dzmOkmGVXecLwIJpoTa0+20uxz/ftt99OfODRDC+++OLC4fW+FcboVFd4TTSmaylbDe1RbVIL9tASVPv7IKS10lTL3PCeHlruaggRbaPJu8qlQYMG2TalLWaztpenWlRrqI9gq/cdHUPvibfffnuyxRZb2HONG9rMRAtQf1VICCCAAAIIIIAAAggggEBnF/Bd060Fke92aK3DvvnNb7Z7StpmnXXWsZY5/kuvtd7RTmpBVC6F1kFq6VOa1LqpEckHySzbcuXKKov/om37qNWfnySkYrF8d+w266s9F7X8UypXttKMF7VcpflVel7tOVTKY1HLq1ZqWcl3V7bWaX4oBefHyXQ+oO785FG2qVoBppPK4CdbsRaGWq5Whn6yKeeHRHB+AhnnZ4Z3fizX9C5lH6vVr5+IxvnZsJ3vfm+t1NRqUy1idfPBJGtRWTaDf6/wXb/dkCFD3Hvvved88NMNHjzYyqLXkeqc75btfPCnvWyqWi9DH+h2vsu98xP+WGu+0FpVLf2U1NI5nerZJ71/eKz67QOcTm5q1aekVodq2eqHULBWjFqm9x0fZLPyyWBRUqyyhzKEVuh67/JDHTj/Y0xY1ea+EeerlrpqFel/XLFWoOGgftgMq/tqPatWw2rJqeQniLP38rBde/dqva467X9scD4oby1HdSwl9QZQCvXDj4tqz9WCulyaM2eOrfJjfJbbpLBcrX7VotoPn2KtW+Wr17H/QcGp1a2S/0HDWp2rFajOtVmJAGiz5DkuAggggAACCCCAAAIIIBBRQN099cVZQQkFdk444YSKufux2Ww7bfT973/ftlW3YCV9iS6Xwhfqar4cl8uj1uUKLimFY5fun7Vc3XWVll9+eedbz5XuEu25uiMr+RZbmXn61mzWhXn99de3wFhHlSuzMHUsbGR5fUsxpwCob3Hn/BiGzrfwtGCin9inqKQKkCrQou67CiqqK3g6qQuukoZ/qCZpeAcFm0LASV3X/Zi0FtjzY406P16idYmvlJe68Cv4ue+++1q34NLhD5SnUrVlqnQs5aGbjuEnIira1I8fac8VcEqnevZJ7x8e+wmGLLimaxAC6mGoDN/yNWzmwmMF4hY1AFpr2X2rSjdr1iwLkvuWiIUyhQcKDCppKIVKwU9t04jzVdmUNCRFaT1RAP/yyy+3svsxNW270uEebGGFPxrKQkF4BXpDsFebK+iqITp8i9JCvfEthS0nXaewXzpr3zLb+ZapNgRK1g9D6W0VBPdj9lqAc/jw4bbKT2JmPwaF+qCFOqbcdcxmpsb8PNfMM+LYCCCAAAIIIIAAAggggEAXFfATU1grTo15qS/y5ZK++GpbJbUeUks6JbXyUlKQKbT0tAX//qMv1BMmTLBnpUGo9HaxHytIoORnGs4sl5/NvM0hw7n4bpfOdz1us95PzGFBAT/jsfOTLLVZX+0CjYun5LtvOz/beZvddPxDDz3UaUw/pY4qV5uCtLMgBLcUfEqnRpZX46Nq3EO1xlSATS3P1CpZ43Gmk5/Yxp5qXVa9e/rpp219e+NtagzIAQMGOD+UQjp7p9bTGkdTx9X5+67IRetLn6icGntUyQ+B0CaopXExQ7AnXaZyxqX5p58fd9xxFtzSOJelSXlfc801tthPXFRYXc8+hZ1TD/Q+ofPT68/PGl5YE1o7h5bZWqEAnFIYE9Se1PGnnrIrOK5r64fnyDyixsBUKh3nt3TjRp1vCMqqXoUgZ/rYGpc0PXZp1vtVevvw2Hett9bPak2dtY8f0sHeL/Wa8ZNo2W6q6xqvWO9VWe+b+kFC9UrXPLQiDccrvde4phrrVu5h/NmsuqH9VD8WtW6UHr/W5wRAaxVjewQQQAABBBBAAAEEEEAgpwLqFhtaO6qF2plnnlmYjCUU2Y/fZ8EMdfVVayQ/DmRYZV2S1epHLZaOPfZYF7p3awN9sfXjHVqQSkEkTeDRUUlBRnVxVrlOOukkF7pl6/iawMiPWdqmKH4GZOuirC/6mnyjNKB74oknukmTJlmwK7QwbZNJFQu0rybRUXBYeaYDiPrCHwJXoftwR5WriqIXbRKCWQp+qDtzSI0sr1piqmu7n028qN6GY4d7dXFXUmA/HVDUMgXFzz33XD10am1bKSlQpO66au0ZuvmG7Z988kkLIsmhtJVl2Cbcaxu1qlMqDZ6rDGqJrXNSSpepnLFtWOaP6r1eh2rZnQ6wq56pXus1oS736a7F9eyTdfgrrrjCWl2XBhZDd+p0q+fwOB3IU54KbGuCnhAQzjpOelk9ZddwCErqhh0C0yFPTR41ZswYC9Dp/bBSinG+WfnrNaTAo+qEfgxJvxepHur9Q+/LIY0aNaow3ENYlnXfq1cvy1fvM2oFm076UUATVympRXM66b1dScHtdFd4XcPzzz/f1um9vlLSuaheKKicHm4lq27ofNWytLRuVMq/Iev8Pw4SAggggAACCCCAAAIIIIBAiwj4YEniAyMaALNw892vEx8kSHzLn8JkLZoow3cdbnPWmlDDdxu3ff0sxImfXT3xgb3Ed2u1ZT7IapMOpXcMEwf5L9DpxfY4xiRIyuitt95K/JdrK4MmrPHBjOQHP/iBldV307bl6UmQtI8mFfHdXgvrfvSjH9m5+ACuLfMt8mxiHW0bUj3n4oNqSc+ePS1PTfjhAw+JD+wlIS8fnEp8ADkcoq5yFXYueVBpEiQ/63TJ1v96mjUJktb48QHtHHxgJfGB3cS3VrMd6nH0Lb4srzfffPNfBy3z1wfGbDvV19VXX73IKeyiiYv8uJC2neqkrr0Peia+1aMtV70O632QMOxWyDdMguQDRYkP8NtyH4xMfKAy0SRWmhDG/xhgy32wqLB/pQe+m75t74OziR77AGXiuy7bxEAqi29BZ+s1SVI6lTNOb5N+rNez/7HB8lJd9sNVWB3WRFEy0yQ6mgAtnerZJ72/HvsW0jap1DbbbFO6KvGtwO3YPlBnE1ip/vuxhBPf/Trxwa6i7VWXVM70hFtFG5Q8qafsPihuk/7oOL4lok3GdPbZZyf+Rweb4Eqvcx/YKzlS8dNY51uc6+fPfCvnxLfCNAtNwqWJgnRd9T6scvvu8YkP8Cfy1nOVefz48Z9nUOaRD/Da5Fg6bx88TnxQ0s47vIfr/bs0yStMTKT/DXp/92PWFl7/el3oOlRKfjxPK6cf37TNZj4oapOb+TF1E9+qNtEkczonPyZom207coF+OSMhgAACCCCAAAIIIIAAAgi0mIBm8PVdH+2Lp758hptmGPbjLSZ+rLayZ+zHALWgkLYN+ynQopnfQ1AsvXMI9DUyAKrjKdCiL/mhTAoSDB06NAlB1tIAqPbRTMu+i2kh8Bv2VSDMtx7UJkWpnnNRBr7VZDJs2DCbwTkcQ36aRT0dlAsHq7VcYb/S+5gBUAUzQoBO53DfffcVDldreasNgOoAIejjuz8Xjlf64M4770x8K7rCtVf5/Di0iWbVVrBGM5Br2dVXX13YNVyHEADVCtVfP8lS0XXSdgqu+2EjCvu298C3+E18K2sLVIXj6HormKqgroJZIV/fWrOQXSXjwkYlD3wrwcS3HCw6luq+Anyq+1mpnn3S+fhWslZ+P8ZoenHhsYKfOj8/tqOVS8G9rNdTrQFQHaCesiu4rdnoQyBbZVNQUIFFBWzbS7HOt9JxfGv1xA+5UXQd/bALycEHH5z4yYNsVwVi9T7ix81MfOveStkV1t1xxx2JApmhHupe+/sWrYVtSh8oUK3jhh8OtI+CsX5olESWlZIf+9Zee34SsMzNfMv6xLe2tvKEH6D8eLuZP25kZtCghd2Urz9REgIIIIAAAggggAACCCCAQAsKzJ8/382YMcP5FpQ23qK6YvpATVVnqm6OmvDEBwVdmOynqh0bvJEmPVI3bXWNb29Sk1AUdZ2eOnWqdSOWgW9tGFZFvZeZuln7AJVNetK9e/eK+XdUuSoWomSlJkHxwRCbNKZklXVB7wjH0uPquQ90WpdsjaOoSaW+8IUvZG1W1TJ1G1Y9Uhdg1SPfgreq/Uo3Urd0Tfyi15TGevQBpdJNMp9XMs7cwS/UDNuasV5hHE1YVk2Z69lHx9eYtTqX0u7v6bKpe/vDDz/s1BVb41iGSdTS2+ixJtLSuKvappZUT9n1elJ3cr3faSIeTZxVTYp5vu0dT3VPXfXlpnpcmnQOes/W+1S1SUMiqD5rwieNq6t9NcREe0lDm6gs2l/XKQw3UWk/37LTXXXVVe7www+3sUKztlX5NbmZhmjwrU3dd77zncIkWlnbd8QyAqAdocwxEEAAAQQQQAABBBBAAAEEEEAAgS4moGC5AmsaX1KBORICzRJgEqRmyXNcBBBAAAEEEEAAAQQQQAABBBBAoIUFNHu8Jtsh+NnCF7mTnBotQDvJhaKYCCCAAAIIIIAAAggggAACCCCAQGcSUFf/Rg030ZkcKGvzBQiANv8aUAIEEEAAAQQQQAABBBBAAAEEEEAAAQQQaJAAXeAbBEu2CCCAAAIIIIAAAggggAACCCCAAAIIINB8AQKgzb8GlAABBBBAAAEEEEAAAQQQQAABBBBAAAEEGiRAALRBsGSLAAIIIIAAAggggAACCCCAAAIIIIAAAs0XIADa/GtACRBAAAEEEEAAAQQQQAABBBBAAAEEEECgQQIEQBsES7YIIIAAAggggAACCCCAAAIIIIAAAggg0HwBAqDNvwaUAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQaJEAAtEGwZIsAAggggAACCCCAAAIIIIAAAggggAACzRcgANr8a0AJEEAAAQQQQAABBBBAAAEEEEAAAQQQQKBBAgRAGwRLtggggAACCCCAAAIIIIAAAggggAACCCDQfAECoM2/BpQAAQQQQAABBBBAAAEEEEAAAQQQQAABBBokQAC0QbBkiwACCCCAAAIIIIAAAggggAACCCCAAALNFyAA2vxrQAkQQAABBBBAAAEEEEAAAQQQQAABBBBAoEECBEAbBEu2CCCAAAIIIIAAAggggAACCCCAAAIIINB8AQKgzb8GlAABBBBAAAEEEEAAAQQQQAABBBBAAAEEGiTw/7HFZUrNjzqCAAAAAElFTkSuQmCC" width="672" /></p>
<pre class="r"><code>ggsave(&quot;figures_appendix/FigureA5.png&quot;, height=9, units=&quot;cm&quot;, dpi = 900)</code></pre>
<pre><code>## Saving 17.8 x 9 cm image</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<pre class="r"><code>###FIGURE A6###

mmES.1 &lt;- mm(tinder_conjoint_ES_noVOX, selected ~ FLAG + BI + TRANS + VEG + 
               CONGRUENCE + RELATIONSHIP + DISTANCE + EDUCATION_SLIM + 
               JOB_SLIM + PARTY, id = ~ ResponseId, h0 = 0.5)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>mmES.1$lower90 &lt;- mmES.1$estimate - (1.645 * mmES.1$std.error)
mmES.1$higher90 &lt;- mmES.1$estimate + (1.645 * mmES.1$std.error)
mmES.1$lower95 &lt;- mmES.1$estimate - (1.96 * mmES.1$std.error)
mmES.1$higher95 &lt;- mmES.1$estimate + (1.96 * mmES.1$std.error)
mmES.1$lower99 &lt;- mmES.1$estimate - (2.58 * mmES.1$std.error)
mmES.1$higher99 &lt;- mmES.1$estimate + (2.58 * mmES.1$std.error)
mmES.1$lower999 &lt;- mmES.1$estimate - (3.29 * mmES.1$std.error)
mmES.1$higher999 &lt;- mmES.1$estimate + (3.29 * mmES.1$std.error)

mmES.1&lt;-subset(mmES.1, feature %in% c(&quot;PARTY&quot;)) 

ESmmplot1&lt;- mmES.1 %&gt;% 
  ggplot(aes(level)) +
  geom_vline(xintercept = .44, colour=&quot;gray&quot;, linetype=&quot;dashed&quot;)+ ##.46 median acceptance
  geom_segment(aes(x=lower90, xend=higher90, y=level, yend=level), size=4, alpha=1)+ 
  geom_segment(aes(x=lower95, xend=higher95, y=level, yend=level), size=3, alpha=.8)+ 
  geom_segment(aes(x=lower99, xend=higher99, y=level, yend=level), size=2, alpha=.6)+
  facet_grid(feature~., scales=&#39;free&#39;, space=&#39;free&#39;) +  
  geom_point(aes(x=estimate, y=level), fill=&quot;white&quot;, color=&quot;grey67&quot;, size=2.5,  pch=21)+
  labs(y=NULL, subtitle=&#39;Marginal means (MM)&#39;, x=&quot;&quot;)+
  theme_ggdist()+
  theme(legend.position = &quot;none&quot;) +
  xlim(.3,.6)+
  geom_label(
    aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
    nudge_y = .25, size=2.5, fontface = &quot;bold&quot;)+
  geom_label(
    aes(label = level, y = level, x = estimate),
    nudge_y = -.25, size=2.5, fontface = &quot;bold&quot;)+
  theme(strip.background = element_blank(),
        strip.text = element_blank(),
        axis.text.y = element_blank(),
        axis.ticks.y = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=.5))

amceES.1 &lt;- amce(tinder_conjoint_ES_noVOX, selected ~ FLAG + BI + TRANS + VEG +
                   CONGRUENCE + RELATIONSHIP + DISTANCE + EDUCATION_SLIM +
                   JOB_SLIM + PARTY, id = ~ ResponseId)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>amceES.1$lower90 &lt;- amceES.1$estimate - (1.645 * amceES.1$std.error)
amceES.1$higher90 &lt;- amceES.1$estimate + (1.645 * amceES.1$std.error)
amceES.1$lower95 &lt;- amceES.1$estimate - (1.96 * amceES.1$std.error)
amceES.1$higher95 &lt;- amceES.1$estimate + (1.96 * amceES.1$std.error)
amceES.1$lower99 &lt;- amceES.1$estimate - (2.58 * amceES.1$std.error)
amceES.1$higher99 &lt;- amceES.1$estimate + (2.58 * amceES.1$std.error)
amceES.1$lower999 &lt;- amceES.1$estimate - (3.29 * amceES.1$std.error)
amceES.1$higher999 &lt;- amceES.1$estimate + (3.29 * amceES.1$std.error)

amceES.1&lt;-subset(amceES.1, feature %in% c(&quot;PARTY&quot;)) 
amceES.1&lt;-subset(amceES.1, level %in% c(&quot;PSOE&quot;, &quot;Sumar&quot;, &quot;VOX&quot;)) 

ESamceplot1&lt;- amceES.1 %&gt;% 
  ggplot(aes(level)) +
  geom_vline(xintercept = 0, colour=&quot;gray&quot;, linetype=&quot;dashed&quot;)+ ##.46 median acceptance
  geom_segment(aes(x=lower90, xend=higher90, y=level, yend=level), size=4, alpha=1)+ 
  geom_segment(aes(x=lower95, xend=higher95, y=level, yend=level), size=3, alpha=.8)+ 
  geom_segment(aes(x=lower99, xend=higher99, y=level, yend=level), size=2, alpha=.6)+
  facet_grid(feature~., scales=&#39;free&#39;, space=&#39;free&#39;) +  
  geom_point(aes(x=estimate, y=level), fill=&quot;white&quot;, color=&quot;grey67&quot;, size=2.5,  pch=21)+
  labs(y=NULL, subtitle=&#39;Average marginal component effect (AMCE)&#39;, x=&quot;&quot;)+
  theme_ggdist()+
  theme(legend.position = &quot;none&quot;) +
  xlim(-.2,.2)+
  geom_label(
    aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
    nudge_y = .2, size=2.5, fontface = &quot;bold&quot;)+
  geom_label(
    aes(label = level, y = level, x = estimate),
    nudge_y = -.2, size=2.5, fontface = &quot;bold&quot;)+
  theme(strip.background = element_blank(),
        strip.text = element_blank(),
        axis.text.y = element_blank(),
        axis.ticks.y = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=.5))

ESmmplot1+ESamceplot1+
  plot_annotation(caption = &#39;Confidence intervals at 99%, 95% &amp; 90%&#39;)</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>ggsave(&quot;figures_appendix/FigureA6.png&quot;, height=9, units=&quot;cm&quot;, dpi = 900)</code></pre>
<pre><code>## Saving 17.8 x 9 cm image</code></pre>
<pre class="r"><code>###FIGURE A7###

gender_UK &lt;- cj(tinder_conjoint_UK, selected ~ FLAG + BI + PROS + TRANS + CONGRUENCE + ETHNICITY + EMOTION + RELATIONSHIP + DISTANCE + EDUCATION_SLIM + JOB_SLIM + PARTY,
                id = ~ ResponseId, estimate=&quot;amce&quot;,by = ~ resp_gender)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>gender_UK$lower90 &lt;- gender_UK$estimate - (1.645 * gender_UK$std.error)
gender_UK$higher90 &lt;- gender_UK$estimate + (1.645 * gender_UK$std.error)
gender_UK$lower95 &lt;- gender_UK$estimate - (1.96 * gender_UK$std.error)
gender_UK$higher95 &lt;- gender_UK$estimate + (1.96 * gender_UK$std.error)
gender_UK$lower99 &lt;- gender_UK$estimate - (2.58 * gender_UK$std.error)
gender_UK$higher99 &lt;- gender_UK$estimate + (2.58 * gender_UK$std.error)
gender_UK$lower999 &lt;- gender_UK$estimate - (3.29 * gender_UK$std.error)
gender_UK$higher999 &lt;- gender_UK$estimate + (3.29 * gender_UK$std.error)
gender_UK&lt;-subset(gender_UK, feature %in% c(&quot;PARTY&quot;)) 

gen1&lt;- ggplot(gender_UK, aes(y = level, x = estimate, color = BY)) +
  scale_shape_manual(values = c(10, 18)) +
  scale_fill_manual(values = col2) +
  scale_color_manual(values = col2) +
  facet_grid(feature~., scales=&#39;free&#39;, space=&#39;free&#39;) +  
  geom_vline(xintercept = 0, colour=&quot;grey&quot;, linetype=&quot;dashed&quot;)+
  geom_segment(data = subset(gender_UK, BY == &quot;a woman&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(gender_UK, BY == &quot;a woman&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(gender_UK, BY == &quot;a woman&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6, position = position_nudge(y = .2)) + 
  geom_point(data = subset(gender_UK, BY == &quot;a woman&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21,  
             position = position_nudge(y = .2))+
  geom_segment(data = subset(gender_UK, BY == &quot;a man&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1) + 
  geom_segment(data = subset(gender_UK, BY == &quot;a man&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8) + 
  geom_segment(data = subset(gender_UK, BY == &quot;a man&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6) + 
  geom_point(data = subset(gender_UK, BY == &quot;a man&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21) +
  geom_label(data = subset(gender_UK, BY == &quot;a woman&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = .4), size = 3, fontface = &quot;bold&quot;
  ) +
  geom_label(data = subset(gender_UK, BY == &quot;a man&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = -.2), size = 3, fontface = &quot;bold&quot;
  ) +
  annotate(&quot;label&quot;, x = -.15, y = 1.2, label = &quot;Men&quot;,
           color=&quot;black&quot;, size=3, fontface=&quot;bold&quot;, hjust=.5)+
  annotate(&quot;label&quot;, x = -.15, y = 1, label = &quot;Women&quot;,
           color=&quot;grey50&quot;, size=3, fontface=&quot;bold&quot;, hjust=.5)+
  labs(y = NULL, subtitle = &#39;Conditional AMCE&#39;, x=&quot;&quot;)+
  theme_ggdist() +
  xlim(-.2,.3)+
  theme(legend.position = &quot;none&quot;,
        strip.background = element_blank(),
        strip.text = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=.5)) 


genderMM_UK &lt;- cj(tinder_conjoint_UK, selected ~ FLAG + BI + PROS + TRANS + CONGRUENCE + ETHNICITY + EMOTION + RELATIONSHIP + DISTANCE + EDUCATION_SLIM + JOB_SLIM + PARTY,
                  id = ~ ResponseId, estimate=&quot;mm&quot;,by = ~ resp_gender)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>genderMM_UK$lower90 &lt;- genderMM_UK$estimate - (1.645 * genderMM_UK$std.error)
genderMM_UK$higher90 &lt;- genderMM_UK$estimate + (1.645 * genderMM_UK$std.error)
genderMM_UK$lower95 &lt;- genderMM_UK$estimate - (1.96 * genderMM_UK$std.error)
genderMM_UK$higher95 &lt;- genderMM_UK$estimate + (1.96 * genderMM_UK$std.error)
genderMM_UK$lower99 &lt;- genderMM_UK$estimate - (2.58 * genderMM_UK$std.error)
genderMM_UK$higher99 &lt;- genderMM_UK$estimate + (2.58 * genderMM_UK$std.error)
genderMM_UK$lower999 &lt;- genderMM_UK$estimate - (3.29 * genderMM_UK$std.error)
genderMM_UK$higher999 &lt;- genderMM_UK$estimate + (3.29 * genderMM_UK$std.error)
genderMM_UK&lt;-subset(genderMM_UK, feature %in% c(&quot;PARTY&quot;)) 

gen2&lt;- ggplot(genderMM_UK, aes(y = level, x = estimate, color = BY)) +
  scale_shape_manual(values = c(10, 18)) +
  scale_fill_manual(values = col2) +
  scale_color_manual(values = col2) +
  facet_grid(feature~., scales=&#39;free&#39;, space=&#39;free&#39;) +  
  geom_segment(data = subset(genderMM_UK, BY == &quot;a woman&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(genderMM_UK, BY == &quot;a woman&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(genderMM_UK, BY == &quot;a woman&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6, position = position_nudge(y = .2)) + 
  geom_point(data = subset(genderMM_UK, BY == &quot;a woman&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21,  
             position = position_nudge(y = .2))+
  geom_segment(data = subset(genderMM_UK, BY == &quot;a man&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1) + 
  geom_segment(data = subset(genderMM_UK, BY == &quot;a man&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8) + 
  geom_segment(data = subset(genderMM_UK, BY == &quot;a man&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6) + 
  geom_point(data = subset(genderMM_UK, BY == &quot;a man&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21) +
  geom_label(data = subset(genderMM_UK, BY == &quot;a woman&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = .4), size = 3, fontface = &quot;bold&quot;
  ) +
  geom_label(data = subset(genderMM_UK, BY == &quot;a man&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = -.2), size = 3, fontface = &quot;bold&quot;
  )+
  labs(y = NULL, subtitle = &#39;Conditional MM&#39;, x=&quot;&quot;)+
  theme_ggdist() +
  xlim(.1, .7)+
  theme(legend.position = &quot;none&quot;,
        strip.background = element_blank(),
        strip.text = element_blank(),
        axis.ticks.y = element_blank(),
        axis.text.y = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=.5))


gen1+gen2</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>ggsave(&quot;figures_appendix/FigureA7.png&quot;, height=9, units=&quot;cm&quot;, dpi = 900)</code></pre>
<pre><code>## Saving 17.8 x 9 cm image</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<pre class="r"><code>###FIGURE A8###

gender_spain &lt;- cj(tinder_conjoint_ES, selected ~ FLAG + BI + VEG + TRANS + CONGRUENCE + ETHNICITY + EMOTION + RELATIONSHIP + DISTANCE + EDUCATION_SLIM + JOB_SLIM + PARTY,
                   id = ~ ResponseId, estimate=&quot;amce&quot;,by = ~ resp_gender)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>gender_spain$lower90 &lt;- gender_spain$estimate - (1.645 * gender_spain$std.error)
gender_spain$higher90 &lt;- gender_spain$estimate + (1.645 * gender_spain$std.error)
gender_spain$lower95 &lt;- gender_spain$estimate - (1.96 * gender_spain$std.error)
gender_spain$higher95 &lt;- gender_spain$estimate + (1.96 * gender_spain$std.error)
gender_spain$lower99 &lt;- gender_spain$estimate - (2.58 * gender_spain$std.error)
gender_spain$higher99 &lt;- gender_spain$estimate + (2.58 * gender_spain$std.error)
gender_spain$lower999 &lt;- gender_spain$estimate - (3.29 * gender_spain$std.error)
gender_spain$higher999 &lt;- gender_spain$estimate + (3.29 * gender_spain$std.error)
gender_spain&lt;-subset(gender_spain, feature %in% c(&quot;PARTY&quot;)) 

gen1&lt;- ggplot(gender_spain, aes(y = level, x = estimate, color = BY)) +
  scale_shape_manual(values = c(10, 18)) +
  scale_fill_manual(values = col2) +
  scale_color_manual(values = col2) +
  facet_grid(feature~., scales=&#39;free&#39;, space=&#39;free&#39;) +  
  geom_vline(xintercept = 0, colour=&quot;grey&quot;, linetype=&quot;dashed&quot;)+
  geom_segment(data = subset(gender_spain, BY == &quot;a woman&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(gender_spain, BY == &quot;a woman&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(gender_spain, BY == &quot;a woman&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6, position = position_nudge(y = .2)) + 
  geom_point(data = subset(gender_spain, BY == &quot;a woman&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21,  
             position = position_nudge(y = .2))+
  geom_segment(data = subset(gender_spain, BY == &quot;a man&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1) + 
  geom_segment(data = subset(gender_spain, BY == &quot;a man&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8) + 
  geom_segment(data = subset(gender_spain, BY == &quot;a man&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6) + 
  geom_point(data = subset(gender_spain, BY == &quot;a man&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21) +
  geom_label(data = subset(gender_spain, BY == &quot;a woman&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = .4), size = 3, fontface = &quot;bold&quot;
  ) +
  geom_label(data = subset(gender_spain, BY == &quot;a man&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = -.2), size = 3, fontface = &quot;bold&quot;
  ) +
  annotate(&quot;label&quot;, x = -.15, y = 1.2, label = &quot;Men&quot;,
           color=&quot;black&quot;, size=3, fontface=&quot;bold&quot;, hjust=.5)+
  annotate(&quot;label&quot;, x = -.15, y = 1, label = &quot;Women&quot;,
           color=&quot;grey50&quot;, size=3, fontface=&quot;bold&quot;, hjust=.5)+
  labs(y = NULL, subtitle = &#39;Conditional AMCE&#39;, x=&quot;&quot;)+
  theme_ggdist() +
  xlim(-.2,.3)+
  theme(legend.position = &quot;none&quot;,
        strip.background = element_blank(),
        strip.text = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=.5)) 


genderMM_ES &lt;- cj(tinder_conjoint_ES, selected ~ FLAG + BI + VEG + TRANS + CONGRUENCE + ETHNICITY + EMOTION + RELATIONSHIP + DISTANCE + EDUCATION_SLIM + JOB_SLIM + PARTY,
                  id = ~ ResponseId, estimate=&quot;mm&quot;,by = ~ resp_gender)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>genderMM_ES$lower90 &lt;- genderMM_ES$estimate - (1.645 * genderMM_ES$std.error)
genderMM_ES$higher90 &lt;- genderMM_ES$estimate + (1.645 * genderMM_ES$std.error)
genderMM_ES$lower95 &lt;- genderMM_ES$estimate - (1.96 * genderMM_ES$std.error)
genderMM_ES$higher95 &lt;- genderMM_ES$estimate + (1.96 * genderMM_ES$std.error)
genderMM_ES$lower99 &lt;- genderMM_ES$estimate - (2.58 * genderMM_ES$std.error)
genderMM_ES$higher99 &lt;- genderMM_ES$estimate + (2.58 * genderMM_ES$std.error)
genderMM_ES$lower999 &lt;- genderMM_ES$estimate - (3.29 * genderMM_ES$std.error)
genderMM_ES$higher999 &lt;- genderMM_ES$estimate + (3.29 * genderMM_ES$std.error)
genderMM_ES&lt;-subset(genderMM_ES, feature %in% c(&quot;PARTY&quot;)) 

gen2&lt;- ggplot(genderMM_ES, aes(y = level, x = estimate, color = BY)) +
  scale_shape_manual(values = c(10, 18)) +
  scale_fill_manual(values = col2) +
  scale_color_manual(values = col2) +
  facet_grid(feature~., scales=&#39;free&#39;, space=&#39;free&#39;) +  
  geom_segment(data = subset(genderMM_ES, BY == &quot;a woman&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(genderMM_ES, BY == &quot;a woman&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(genderMM_ES, BY == &quot;a woman&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6, position = position_nudge(y = .2)) + 
  geom_point(data = subset(genderMM_ES, BY == &quot;a woman&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21,  
             position = position_nudge(y = .2))+
  geom_segment(data = subset(genderMM_ES, BY == &quot;a man&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1) + 
  geom_segment(data = subset(genderMM_ES, BY == &quot;a man&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8) + 
  geom_segment(data = subset(genderMM_ES, BY == &quot;a man&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6) + 
  geom_point(data = subset(genderMM_ES, BY == &quot;a man&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21) +
  geom_label(data = subset(genderMM_ES, BY == &quot;a woman&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = .4), size = 3, fontface = &quot;bold&quot;
  ) +
  geom_label(data = subset(genderMM_ES, BY == &quot;a man&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = -.2), size = 3, fontface = &quot;bold&quot;
  )+
  labs(y = NULL, subtitle = &#39;Conditional MM&#39;, x=&quot;&quot;)+
  theme_ggdist() +
  xlim(.1, .7)+
  theme(legend.position = &quot;none&quot;,
        strip.background = element_blank(),
        strip.text = element_blank(),
        axis.ticks.y = element_blank(),
        axis.text.y = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=.5))

gen1+gen2</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>ggsave(&quot;figures_appendix/FigureA8.png&quot;, height=9, units=&quot;cm&quot;, dpi = 900)</code></pre>
<pre><code>## Saving 17.8 x 9 cm image</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<pre class="r"><code>###FIGURE A9###

lgbt_uk &lt;- cj(tinder_conjoint_UK, selected ~ FLAG + BI + PROS + TRANS + CONGRUENCE + ETHNICITY + EMOTION + RELATIONSHIP + DISTANCE + EDUCATION_SLIM + JOB_SLIM + PARTY,
              id = ~ ResponseId, estimate=&quot;amce&quot;, by = ~ queer)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>lgbt_uk$lower90 &lt;- lgbt_uk$estimate - (1.645 * lgbt_uk$std.error)
lgbt_uk$higher90 &lt;- lgbt_uk$estimate + (1.645 * lgbt_uk$std.error)
lgbt_uk$lower95 &lt;- lgbt_uk$estimate - (1.96 * lgbt_uk$std.error)
lgbt_uk$higher95 &lt;- lgbt_uk$estimate + (1.96 * lgbt_uk$std.error)
lgbt_uk$lower99 &lt;- lgbt_uk$estimate - (2.58 * lgbt_uk$std.error)
lgbt_uk$higher99 &lt;- lgbt_uk$estimate + (2.58 * lgbt_uk$std.error)
lgbt_uk$lower999 &lt;- lgbt_uk$estimate - (3.29 * lgbt_uk$std.error)
lgbt_uk$higher999 &lt;- lgbt_uk$estimate + (3.29 * lgbt_uk$std.error)
lgbt_uk&lt;-subset(lgbt_uk, feature %in% c(&quot;PARTY&quot;)) 

gen1&lt;- ggplot(lgbt_uk, aes(y = level, x = estimate, color = BY)) +
  scale_shape_manual(values = c(10, 18)) +
  scale_fill_manual(values = col2) +
  scale_color_manual(values = col2) +
  facet_grid(feature~., scales=&#39;free&#39;, space=&#39;free&#39;) +  
  geom_vline(xintercept = 0, colour=&quot;grey&quot;, linetype=&quot;dashed&quot;)+
  geom_segment(data = subset(lgbt_uk, BY == &quot;LGBTQ+&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(lgbt_uk, BY == &quot;LGBTQ+&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(lgbt_uk, BY == &quot;LGBTQ+&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6, position = position_nudge(y = .2)) + 
  geom_point(data = subset(lgbt_uk, BY == &quot;LGBTQ+&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21,  
             position = position_nudge(y = .2))+
  geom_segment(data = subset(lgbt_uk, BY == &quot;Heterosexual&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1) + 
  geom_segment(data = subset(lgbt_uk, BY == &quot;Heterosexual&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8) + 
  geom_segment(data = subset(lgbt_uk, BY == &quot;Heterosexual&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6) + 
  geom_point(data = subset(lgbt_uk, BY == &quot;Heterosexual&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21) +
  geom_label(data = subset(lgbt_uk, BY == &quot;LGBTQ+&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = .4), size = 3, fontface = &quot;bold&quot;
  ) +
  geom_label(data = subset(lgbt_uk, BY == &quot;Heterosexual&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = -.2), size = 3, fontface = &quot;bold&quot;
  ) +
  annotate(&quot;label&quot;, x = -.15, y = 1.2, label = &quot;Heterosexual&quot;,
           color=&quot;black&quot;, size=3, fontface=&quot;bold&quot;, hjust=.5)+
  annotate(&quot;label&quot;, x = -.15, y = 1, label = &quot;LGBTQ+&quot;,
           color=&quot;grey50&quot;, size=3, fontface=&quot;bold&quot;, hjust=.5)+
  labs(y = NULL, subtitle = &#39;Conditional AMCE&#39;, x=&quot;&quot;)+
  theme_ggdist() +
  xlim(-.2,.5)+
  theme(legend.position = &quot;none&quot;,
        strip.background = element_blank(),
        strip.text = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=.5)) 


lgbtMM_UK &lt;- cj(tinder_conjoint_UK, selected ~ FLAG + BI + PROS + TRANS + CONGRUENCE + ETHNICITY + EMOTION + RELATIONSHIP + DISTANCE + EDUCATION_SLIM + JOB_SLIM + PARTY,
                id = ~ ResponseId, estimate=&quot;mm&quot;,by = ~ queer)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>lgbtMM_UK$lower90 &lt;- lgbtMM_UK$estimate - (1.645 * lgbtMM_UK$std.error)
lgbtMM_UK$higher90 &lt;- lgbtMM_UK$estimate + (1.645 * lgbtMM_UK$std.error)
lgbtMM_UK$lower95 &lt;- lgbtMM_UK$estimate - (1.96 * lgbtMM_UK$std.error)
lgbtMM_UK$higher95 &lt;- lgbtMM_UK$estimate + (1.96 * lgbtMM_UK$std.error)
lgbtMM_UK$lower99 &lt;- lgbtMM_UK$estimate - (2.58 * lgbtMM_UK$std.error)
lgbtMM_UK$higher99 &lt;- lgbtMM_UK$estimate + (2.58 * lgbtMM_UK$std.error)
lgbtMM_UK$lower999 &lt;- lgbtMM_UK$estimate - (3.29 * lgbtMM_UK$std.error)
lgbtMM_UK$higher999 &lt;- lgbtMM_UK$estimate + (3.29 * lgbtMM_UK$std.error)
lgbtMM_UK&lt;-subset(lgbtMM_UK, feature %in% c(&quot;PARTY&quot;)) 

gen2&lt;- ggplot(lgbtMM_UK, aes(y = level, x = estimate, color = BY)) +
  scale_shape_manual(values = c(10, 18)) +
  scale_fill_manual(values = col2) +
  scale_color_manual(values = col2) +
  facet_grid(feature~., scales=&#39;free&#39;, space=&#39;free&#39;) +  
  geom_segment(data = subset(lgbtMM_UK, BY == &quot;LGBTQ+&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(lgbtMM_UK, BY == &quot;LGBTQ+&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(lgbtMM_UK, BY == &quot;LGBTQ+&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6, position = position_nudge(y = .2)) + 
  geom_point(data = subset(lgbtMM_UK, BY == &quot;LGBTQ+&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21,  
             position = position_nudge(y = .2))+
  geom_segment(data = subset(lgbtMM_UK, BY == &quot;Heterosexual&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1) + 
  geom_segment(data = subset(lgbtMM_UK, BY == &quot;Heterosexual&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8) + 
  geom_segment(data = subset(lgbtMM_UK, BY == &quot;Heterosexual&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6) + 
  geom_point(data = subset(lgbtMM_UK, BY == &quot;Heterosexual&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21) +
  geom_label(data = subset(lgbtMM_UK, BY == &quot;LGBTQ+&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = .4), size = 3, fontface = &quot;bold&quot;
  ) +
  geom_label(data = subset(lgbtMM_UK, BY == &quot;Heterosexual&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = -.2), size = 3, fontface = &quot;bold&quot;
  )+
  labs(y = NULL, subtitle = &#39;Conditional MM&#39;, x=&quot;&quot;)+
  theme_ggdist() +
  xlim(.1, .7)+
  theme(legend.position = &quot;none&quot;,
        strip.background = element_blank(),
        strip.text = element_blank(),
        axis.ticks.y = element_blank(),
        axis.text.y = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=.5))

gen1+gen2</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>ggsave(&quot;figures_appendix/FigureA9.png&quot;, height=9, units=&quot;cm&quot;, dpi = 900)</code></pre>
<pre><code>## Saving 17.8 x 9 cm image</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<pre class="r"><code>###FIGURE A10###
lgbt_spain &lt;- cj(tinder_conjoint_ES, selected ~ FLAG + BI + VEG + TRANS + CONGRUENCE + ETHNICITY + EMOTION + RELATIONSHIP + DISTANCE + EDUCATION_SLIM + JOB_SLIM + PARTY,
                 id = ~ ResponseId, estimate=&quot;amce&quot;,by = ~ queer)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>lgbt_spain$lower90 &lt;- lgbt_spain$estimate - (1.645 * lgbt_spain$std.error)
lgbt_spain$higher90 &lt;- lgbt_spain$estimate + (1.645 * lgbt_spain$std.error)
lgbt_spain$lower95 &lt;- lgbt_spain$estimate - (1.96 * lgbt_spain$std.error)
lgbt_spain$higher95 &lt;- lgbt_spain$estimate + (1.96 * lgbt_spain$std.error)
lgbt_spain$lower99 &lt;- lgbt_spain$estimate - (2.58 * lgbt_spain$std.error)
lgbt_spain$higher99 &lt;- lgbt_spain$estimate + (2.58 * lgbt_spain$std.error)
lgbt_spain$lower999 &lt;- lgbt_spain$estimate - (3.29 * lgbt_spain$std.error)
lgbt_spain$higher999 &lt;- lgbt_spain$estimate + (3.29 * lgbt_spain$std.error)
lgbt_spain&lt;-subset(lgbt_spain, feature %in% c(&quot;PARTY&quot;)) 

gen1&lt;- ggplot(lgbt_spain, aes(y = level, x = estimate, color = BY)) +
  scale_shape_manual(values = c(10, 18)) +
  scale_fill_manual(values = col2) +
  scale_color_manual(values = col2) +
  facet_grid(feature~., scales=&#39;free&#39;, space=&#39;free&#39;) +  
  geom_vline(xintercept = 0, colour=&quot;grey&quot;, linetype=&quot;dashed&quot;)+
  geom_segment(data = subset(lgbt_spain, BY == &quot;LGBTQ+&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(lgbt_spain, BY == &quot;LGBTQ+&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(lgbt_spain, BY == &quot;LGBTQ+&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6, position = position_nudge(y = .2)) + 
  geom_point(data = subset(lgbt_spain, BY == &quot;LGBTQ+&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21,  
             position = position_nudge(y = .2))+
  geom_segment(data = subset(lgbt_spain, BY == &quot;Heterosexual&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1) + 
  geom_segment(data = subset(lgbt_spain, BY == &quot;Heterosexual&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8) + 
  geom_segment(data = subset(lgbt_spain, BY == &quot;Heterosexual&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6) + 
  geom_point(data = subset(lgbt_spain, BY == &quot;Heterosexual&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21) +
  geom_label(data = subset(lgbt_spain, BY == &quot;LGBTQ+&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = .4), size = 3, fontface = &quot;bold&quot;
  ) +
  geom_label(data = subset(lgbt_spain, BY == &quot;Heterosexual&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = -.2), size = 3, fontface = &quot;bold&quot;
  ) +
  annotate(&quot;label&quot;, x = -.15, y = 1.2, label = &quot;Heterosexual&quot;,
           color=&quot;black&quot;, size=3, fontface=&quot;bold&quot;, hjust=.5)+
  annotate(&quot;label&quot;, x = -.15, y = 1, label = &quot;LGBTQ+&quot;,
           color=&quot;grey50&quot;, size=3, fontface=&quot;bold&quot;, hjust=.5)+
  labs(y = NULL, subtitle = &#39;Conditional AMCE&#39;, x=&quot;&quot;)+
  theme_ggdist() +
  xlim(-.2,.5)+
  theme(legend.position = &quot;none&quot;,
        strip.background = element_blank(),
        strip.text = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=.5)) 


lgbtMM_spain &lt;- cj(tinder_conjoint_ES, selected ~ FLAG + BI + VEG + TRANS + CONGRUENCE + ETHNICITY + EMOTION + RELATIONSHIP + DISTANCE + EDUCATION_SLIM + JOB_SLIM + PARTY,
                   id = ~ ResponseId, estimate=&quot;mm&quot;,by = ~ queer)</code></pre>
<pre><code>## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.
## Warning in logLik.svyglm(x): svyglm not fitted by maximum likelihood.</code></pre>
<pre class="r"><code>lgbtMM_spain$lower90 &lt;- lgbtMM_spain$estimate - (1.645 * lgbtMM_spain$std.error)
lgbtMM_spain$higher90 &lt;- lgbtMM_spain$estimate + (1.645 * lgbtMM_spain$std.error)
lgbtMM_spain$lower95 &lt;- lgbtMM_spain$estimate - (1.96 * lgbtMM_spain$std.error)
lgbtMM_spain$higher95 &lt;- lgbtMM_spain$estimate + (1.96 * lgbtMM_spain$std.error)
lgbtMM_spain$lower99 &lt;- lgbtMM_spain$estimate - (2.58 * lgbtMM_spain$std.error)
lgbtMM_spain$higher99 &lt;- lgbtMM_spain$estimate + (2.58 * lgbtMM_spain$std.error)
lgbtMM_spain$lower999 &lt;- lgbtMM_spain$estimate - (3.29 * lgbtMM_spain$std.error)
lgbtMM_spain$higher999 &lt;- lgbtMM_spain$estimate + (3.29 * lgbtMM_spain$std.error)
lgbtMM_spain&lt;-subset(lgbtMM_spain, feature %in% c(&quot;PARTY&quot;)) 

gen2&lt;- ggplot(lgbtMM_spain, aes(y = level, x = estimate, color = BY)) +
  scale_shape_manual(values = c(10, 18)) +
  scale_fill_manual(values = col2) +
  scale_color_manual(values = col2) +
  facet_grid(feature~., scales=&#39;free&#39;, space=&#39;free&#39;) +  
  geom_segment(data = subset(lgbtMM_spain, BY == &quot;LGBTQ+&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(lgbtMM_spain, BY == &quot;LGBTQ+&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8,  position = position_nudge(y = .2)) + 
  geom_segment(data = subset(lgbtMM_spain, BY == &quot;LGBTQ+&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6, position = position_nudge(y = .2)) + 
  geom_point(data = subset(lgbtMM_spain, BY == &quot;LGBTQ+&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21,  
             position = position_nudge(y = .2))+
  geom_segment(data = subset(lgbtMM_spain, BY == &quot;Heterosexual&quot;),
               aes(x = lower90, xend = higher90, y = level, yend = level),
               size = 4, alpha = 1) + 
  geom_segment(data = subset(lgbtMM_spain, BY == &quot;Heterosexual&quot;),
               aes(x = lower95, xend = higher95, y = level, yend = level),
               size = 3, alpha = .8) + 
  geom_segment(data = subset(lgbtMM_spain, BY == &quot;Heterosexual&quot;),
               aes(x = lower99, xend = higher99, y = level, yend = level),
               size = 2, alpha = .6) + 
  geom_point(data = subset(lgbtMM_spain, BY == &quot;Heterosexual&quot;),
             aes(x = estimate, y = level), fill = &quot;white&quot;, color = &quot;grey67&quot;, size = 2.5, pch = 21) +
  geom_label(data = subset(lgbtMM_spain, BY == &quot;LGBTQ+&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = .4), size = 3, fontface = &quot;bold&quot;
  ) +
  geom_label(data = subset(lgbtMM_spain, BY == &quot;Heterosexual&quot;),
             aes(label = sprintf(&quot;%0.2f&quot;, round(estimate, digits = 2)), y = level, x = estimate),
             position = position_nudge(y = -.2), size = 3, fontface = &quot;bold&quot;
  )+
  labs(y = NULL, subtitle = &#39;Conditional MM&#39;, x=&quot;&quot;)+
  theme_ggdist() +
  xlim(.1, .7)+
  theme(legend.position = &quot;none&quot;,
        strip.background = element_blank(),
        strip.text = element_blank(),
        axis.ticks.y = element_blank(),
        axis.text.y = element_blank(),
        plot.subtitle = element_text(face=&quot;bold&quot;, hjust=.5))

gen1+gen2</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAPACAYAAAD0ZtPZAAAEDmlDQ1BrQ0dDb2xvclNwYWNlR2VuZXJpY1JHQgAAOI2NVV1oHFUUPpu5syskzoPUpqaSDv41lLRsUtGE2uj+ZbNt3CyTbLRBkMns3Z1pJjPj/KRpKT4UQRDBqOCT4P9bwSchaqvtiy2itFCiBIMo+ND6R6HSFwnruTOzu5O4a73L3PnmnO9+595z7t4LkLgsW5beJQIsGq4t5dPis8fmxMQ6dMF90A190C0rjpUqlSYBG+PCv9rt7yDG3tf2t/f/Z+uuUEcBiN2F2Kw4yiLiZQD+FcWyXYAEQfvICddi+AnEO2ycIOISw7UAVxieD/Cyz5mRMohfRSwoqoz+xNuIB+cj9loEB3Pw2448NaitKSLLRck2q5pOI9O9g/t/tkXda8Tbg0+PszB9FN8DuPaXKnKW4YcQn1Xk3HSIry5ps8UQ/2W5aQnxIwBdu7yFcgrxPsRjVXu8HOh0qao30cArp9SZZxDfg3h1wTzKxu5E/LUxX5wKdX5SnAzmDx4A4OIqLbB69yMesE1pKojLjVdoNsfyiPi45hZmAn3uLWdpOtfQOaVmikEs7ovj8hFWpz7EV6mel0L9Xy23FMYlPYZenAx0yDB1/PX6dledmQjikjkXCxqMJS9WtfFCyH9XtSekEF+2dH+P4tzITduTygGfv58a5VCTH5PtXD7EFZiNyUDBhHnsFTBgE0SQIA9pfFtgo6cKGuhooeilaKH41eDs38Ip+f4At1Rq/sjr6NEwQqb/I/DQqsLvaFUjvAx+eWirddAJZnAj1DFJL0mSg/gcIpPkMBkhoyCSJ8lTZIxk0TpKDjXHliJzZPO50dR5ASNSnzeLvIvod0HG/mdkmOC0z8VKnzcQ2M/Yz2vKldduXjp9bleLu0ZWn7vWc+l0JGcaai10yNrUnXLP/8Jf59ewX+c3Wgz+B34Df+vbVrc16zTMVgp9um9bxEfzPU5kPqUtVWxhs6OiWTVW+gIfywB9uXi7CGcGW/zk98k/kmvJ95IfJn/j3uQ+4c5zn3Kfcd+AyF3gLnJfcl9xH3OfR2rUee80a+6vo7EK5mmXUdyfQlrYLTwoZIU9wsPCZEtP6BWGhAlhL3p2N6sTjRdduwbHsG9kq32sgBepc+xurLPW4T9URpYGJ3ym4+8zA05u44QjST8ZIoVtu3qE7fWmdn5LPdqvgcZz8Ww8BWJ8X3w0PhQ/wnCDGd+LvlHs8dRy6bLLDuKMaZ20tZrqisPJ5ONiCq8yKhYM5cCgKOu66Lsc0aYOtZdo5QCwezI4wm9J/v0X23mlZXOfBjj8Jzv3WrY5D+CsA9D7aMs2gGfjve8ArD6mePZSeCfEYt8CONWDw8FXTxrPqx/r9Vt4biXeANh8vV7/+/16ffMD1N8AuKD/A/8leAvFY9bLAAAAOGVYSWZNTQAqAAAACAABh2kABAAAAAEAAAAaAAAAAAACoAIABAAAAAEAAAVAoAMABAAAAAEAAAPAAAAAALYRw1EAAEAASURBVHgB7N0HvF1T3v/xX6T3hDSRSIQQLQTRgiAhjIwIxmBEL8Foozz6EIzBYBj9r/eZwSASLUSNFgRpapBEehBp0u5/f9fz7D377HvOPeWee+85e3/W63WdXdYu671v3HV+e5V6FV4yEgIIIIAAAggggAACCCCAAAIIIIAAAgggEEOBtWJYJoqEAAIIIIAAAggggAACCCCAAAIIIIAAAgg4AQKg/CIggAACCCCAAAIIIIAAAggggAACCCCAQGwFCIDG9tFSMAQQQAABBBBAAAEEEEAAAQQQQAABBBAgAMrvAAIIIIAAAggggAACCCCAAAIIIIAAAgjEVoAAaGwfLQVDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQKg/A4ggAACCCCAAAIIIIAAAggggAACCCCAQGwFCIDG9tFSMAQQQAABBBBAAAEEEEAAAQQQQAABBBAgAMrvAAIIIIAAAggggAACCCCAAAIIIIAAAgjEVoAAaGwfLQVDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQKg/A4ggAACCCCAAAIIIIAAAggggAACCCCAQGwFCIDG9tFSMAQQQAABBBBAAAEEEEAAAQQQQAABBBAgAMrvAAIIIIAAAggggAACCCCAAAIIIIAAAgjEVoAAaGwfLQVDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQKg/A4ggAACCCCAAAIIIIAAAggggAACCCCAQGwFCIDG9tFSMAQQQAABBBBAAAEEEEAAAQQQQAABBBAgAMrvAAIIIIAAAggggAACCCCAAAIIIIAAAgjEVoAAaGwfLQVDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQKg/A4ggAACCCCAAAIIIIAAAggggAACCCCAQGwFCIDG9tFSMAQQQAABBBBAAAEEEEAAAQQQQAABBBAgAMrvAAIIIIAAAggggAACCCCAAAIIIIAAAgjEVoAAaGwfLQVDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQKg/A4ggAACCCCAAAIIIIAAAggggAACCCCAQGwFCIDG9tFSMAQQQAABBBBAAAEEEEAAAQQQQAABBBAgAMrvAAIIIIAAAggggAACCCCAAAIIIIAAAgjEVoAAaGwfLQVDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQKg/A4ggAACCCCAAAIIIIAAAggggAACCCCAQGwFCIDG9tFSMAQQQAABBBBAAAEEEEAAAQQQQAABBBAgAMrvAAIIIIAAAggggAACCCCAAAIIIIAAAgjEVqBBbEtGwRBAoOQEFi9ebJ999pnNnz/fevXqZT169LD69euX3H1yQwiUmwD/tsrtiXG/CCCAQPwFKioqbNq0aTZp0iRbZ511bLPNNrM2bdrEv+CUEAEEEECgJAVoAVqSj4WbQiA+AlOnTrVDDjnENtpoI2vVqpXtvPPOtv/++9vGG29szZs3t+22285GjRoVnwKHStK0aVOrV69e8LNo0aLQXrMuXboE+5RPXxIyJe2bMmVK2t35nCftCcpsY02V95JLLkl5HnomDz/8cE46t9xyS6VjdXyDBg3sxx9/zHiOo446Ku1xPXv2zHiMv6MY/7YeeuihtNcP/95Wtfzhhx/6t8MnAggggAACtmbNGrv++uutX79+1rp1a9twww1dvU/rbdu2tc6dO9vw4cNt4cKFsdO65pprUv6mnn322SllvPvuu1P2H3300Sn7oyuZ6n75nid63nJcr27dr3379in2ft0m+ozCNvL380U/H3nkkXBWq4t6YMoNsIIAAjkJEADNiYlMCCCQr4De+v/jH/+wbbbZxv7973/b119/bdoWTr/++qspgDJ48GA76KCDbObMmeHdLHsCS5YssYsvvti1mlALClLNCKxevdruu+++Sie/6667Km3LZ4POO3bs2IyHvPLKKxn3ZdrBv61MMmxHAAEEEKhLgW+++cZ22203O+ecc2zcuHH2yy+/VLqdWbNm2Z133ul6Aj344IOV9sdpQ7TeGy1bpv351v0ynSd6vSSvZzJ6+eWXM7KMGTMm475cd9REPTDXa5MPAQQqCxAArWzCFgQQqKbAihUrbJ999rHTTz/dli1bltPZnnrqKdt9990t2koyp4NjmumZZ56xTTbZxK666ipbvnx5TEtZGsV64YUX0gbg33zzzYwtb3O980wVaLXgzDfoz7+tXNXJhwACCCBQmwLPPfecbbXVVvb222/ndNl58+aZekHcdtttOeVPSibqfrX7pCdOnGhz5sxJe9FCXlKnO1Ex64Hpzs82BBDIXYAxQHO3IicCCOQocNNNN9lLL72Ukltdnn73u9+5FqGNGjWyCRMm2B133GE///xzkO+rr76yk08+2aLdSoIMMVtQK4kFCxYEpVKX+XBS68NcAmTZzhM+J8vpBdSdLFPSc7jxxhsz7c66PVPFt5CKdU3/29IwFccff3zWMvkZOnbs6C/yiQACCCCQUAG19DzhhBNM41GH03777We77rqra+05Y8YM08vuV199NZzFzjrrLNdqdIsttkjZHseV9dZbz/bee++gaOnKnEvdL5fzBBdhoUoBtQxVfezwww9Pyaft0d/VlAx5rBSzHpjHZcmKAALpBLx/3CQEEECgaAJe16aKli1bqq978DNo0KCKuXPnVrqG9/a/Yssttwzy6Zi11lqr4vvvv6+Utxw3NGnSJKVsXrA3r2L85je/STneG0ogr+Pjmtmr+Ke4eF3uqlXU2bNnV3hjdQbn9MZ5Cpb1O7n22mtXeC2Zq7yGN9xDyjFeMDtl/bvvvqt0/AEHHBDkieb3xsytlL8m/m153Q+De1BZu3fvXum6bEAAAQQQQKAqgXPPPTflb0mLFi0qvJfZaQ/xur+n5NXfHi94mjZvuW3861//mlI2L7ibdxGo+6Unq27dz5uEK+XZhOtdxxxzTKWLeg01MubX76w3RnzKMbVRD0y5ICsIIFCQAC1Avf+DkRBAoHgCF1xwQcqYT+uuu649/fTT5gUDK12kXbt29uyzz5omfFm1alWwX92o1BI0U1LX4XfeecemT59ujRs3tt69e5sXSHWTCmU6Rts//vhjW7lypcvSrFkz89+8q5v+Bx984Mar8irttu2227qWqjp3tqQB0sePH2+TJ092Ez3ttNNObnb7bMdpv1rBqkuzn9R1TNf0AsDmBeXsp59+8ne5T7WQff/9992yxlbVBDtKmc7jdqb5T6n4aaIEjY+pMcN++OEH05iwXrDR1LJhwIAB1qFDhzR3X/xNDzzwQMrvn1oqv/XWW+6edDVN1PDEE0/YEUcckfPF9XsQbjmgt//HHntscLzGhHrttdeC9Wj+YEdooTb+bYUuxyICCCCAAAJZBb744gtT74RwuvLKKyu1qPP3n3jiia7OFe55oWFoVD9r2LChn63SZ6nUXZYuXerqkxrDXvXHHXfc0fr27WuqV2ZL6vaveqOfVA/u0aOHW82n7lfVefxzhz81jJLGulR9S8dqYlLVmzfffPO09XP/WK/xgn377bf+qquvayIrJW1XXUlj/OtcmtR0/fXXD/JmWlBLYL+OpfNrQlTV/VT33n777c1rCJHp0KJuD9e70rXQjPbSCefP5Uai+YtRD8zluuRBAIEsAgWFTTkIAQQQSCPgVV5TWtJ5//up8LoOp8mZuum8886r0I8X+KzwZsxO3Rla8ypMFV6FIuWNrK7h//Tv37/Cq4iFjkhdDL/99YKNbqfe2Hpd8oNz+OfygrIVH330UeoJQmteN68Kb+yqSsfp+COPPLLCqyBXZGsBmulttloM+PeR6VOtZ/2U6Tz+fv+zlPy82cdda8NM5VMrzP/5n/+p8IKk/u0Hn7mWNzggy8LGG2+c4j169Gj3+xi+t1122aXKs0Tf/Ov32avUB+c97LDDUo73AtnBPl3niiuuSFmPtgCtqX9btABNeSysIIAAAgjkKfDnP/855e9Xp06dXB2oqtN88sknFYceemjFrbfeWvHpp5+m/VvvH19KdRcviFih8oXrB1r2XthWeC89K7K1AP1//+//pRyr+qKf8qn7VXUe/3z6VO8Vtc5t06ZNynX9+1c95eabb87oH63b/Oc//6nwhmaq8IKdlc7n19tUX0mXVG89+OCDK+rXr1/pWP9+vGBwhdegIN3hFdWt+4W/A+h6I0aMSLmPzz//POW64Za4euannHJKSv5sLUCLXQ9MuTlWEECgYIHaecXi/V+GhAAC8RfQW+1wS06V+A9/+EPWgl9zzTWmH40V5VXS0ub3KmhukiS1/MyUXn/9ddca9J577smUJdiuFnhnnnmmnXbaaSmtMP0MX375pentrVqZRpMXpHVvqtVyMF3SrKY6NmqRLm9tbSslPy/4aV6lP6VVQdTB+6vmfifyaXUZPUcu65rkSK1X/KQxLTU+lyZmCCe1VlAr31yTxrnt169fkF0tCVQmP0VbG2gCsKpSTf7bquq67EMAAQQQQKAqAdWXwunAAw+06Jjm4f1aVs+dxx57zLygkms96AXPolnceinVXW655RZXP1APnWhSS8a99trLHn/88eiuOltXzxrVRa+77rpKPYr8m9Js85qwdI899sg4EZCfV5/qcbTDDju4nk/h7Vr2621nnHFGdJeb4FR1K/WmUf07U1IL1Z133jno7ZQpXzG2R+td4XqZWiO/8cYbwWWUN9PvaJApslDsemDk9KwigECBAgRAC4TjMAQQqCwQrQSr23v79u0rZ8xziyolClaGA4rqIrPZZpu5buze2+TgjKrMnXTSSa57VbAxzYJmffS7bPXp08fUJatXr14pOdUlO93kN+ra5b0pTsm79dZbu4r84MGDTZUer3VDyv2mZM6ykm8lK8vprJT8NEGCgs7hYKBmupf/8OHDg2EJ/DI9+uijFv298vcV4zPcBU/n81pqmn6f9Lul7lzhpIkJ8kn6QuEnfTn67LPP/FU34L6/omEiZFBVihoU699W9Jr6wqQuaLn86IsMCQEEEEAg2QLRv0+5dIPORayU6i4Kep5//vkpdRdvvHvzWjS6+ovXk8QF9hQgLDQVs+6nIYY0qU/0ftR9XV321eU8nNSAQJNYZUuXX365qQt769atzWvBa0OGDKnU9f/ee+811XnCSYFsDUPlJ3V732effVzdXsMOhYfJ0vBPfv3cz18Tnxq2QPfhp3AA9L333kuZ0CsaLPWPyfZZzHpgtmuxHwEEchTwvoSSEEAAgaIIqLu797+e4CfajbeQi3hBz4quXbsG59T5vYBlhTceZnA6TTDjvZFOyeON71nhBTCDPFqIdn/RhEvqzuQn7610xZ577plyHr+rvJ/Ha4lXqcu8NzZjSvchr5VqhVc5TDmP7js6CVK27jzh7jc6PtMkSFWdp9T8vPFgKzQ5gv97ogmywknPoHPnzsF+5fNaVISzVLsblH8yr5JdER4EX9fyxvTyd1dEu355XxwyToYUzXvxxRdX6PfAL6c+r7/+endudUkLD4+g7vHqGhbOG/23UxP/tnQz0S7w4XvItqyuiyQEEEAAgWQLROs70a7BheiUWt1FkzSF/yZ269atwhuTNCia6ptej5WUPMofnQQpl67rudT9sp0nOtGUJnq89tprU+qqqrdEh4DyXjoHZdJCtG6jMnljtFd449cH+bweLm4C07CPusqHk9cjpsIL8Dof1b01rEE43X777Sl2XoOE8G63XFVdt1LmNBui3wH0O6Y6qH/fGiZA25Quu+yyYLv2q3v8qaeemrIt+nsetSp2PTBNkdiEAAIFCNAC1Pu/GgkBBIojoG664RR9wxzel+uyNx5jSjd0DTKvSZI23HDD4BRqbaBtrVq1CraphacXMAzW0y2cc845NnDgwGCXWpVqoplwmjNnTnjVRo0aldJlXq1GvfEbU7rG6O36H//4x5Tj6mql1PzUWmDRokWmCZ2eeuopiw5XoGcwdOjQFK7oZFApO6uxotalmsDAT5oMQJNL+UmtQdWa108a+iDb75SfV59qQapJtfzkty54++23TRMS+CmXlgU18W/Lvz6fCCCAAAIIFCKgv4vey92UQ+NY9/MCeill/Mtf/pLSc0N1BbVyDP/NTzmglle8AGjKFVUn9cYCTamrapvqweF06aWXhlcrLavV6yOPPJIyWZXXcMB1tQ9njtadNYyQfk9U/xk5cmTKEEE6Ti1pw6mm6n3ha2g5XP/SNTWxlZJfX9Oy91Le1MK3kFTMemAh1+cYBBCoLEAAtLIJWxBAoECBaHf3aAWokNNqlvhw0tiMqoxEk2bSjHbfiXb9iR6j7jfR1L1795RN4UCVdmh8onA65JBDXJfp8DYtq+tRKaRS85OJunkpgK1Ap/dG3zHJVWNnHX/88ZXG0NKwBjWRosHXYcOGpVzGay3gxqUNb8ynG7zX4sK8yZOCwzWelNdqIqX7u3aGu0gFmSMLNfFvK3IJt6puaPpCkMuP/+zSnYdtCCCAAALxF9CL5/CLQpU4bnW/X375xebPnx88TA2To7pfNKl7+b777hvdXOvr6qLuTeKZct3oy31/pzdRT8qs65rRXeXNlDRklMZKj6ZsdWflV/BU43t6LVzd4d5koaZx2DUHgF6Oh1NN1fvC19BytP6lwKeurS7wflJ9qNBUzHpgoffAcQggkCrQIHWVNQQQQKBwgeg4hrNmzXLjJVVnXKNowFGt9DIljdsYTuExF8Pb/WWNvRhN0YH7vZb1KVmi9xOt9PmZvW77/mKdfkbvt679fAy1GvnnP/9pL730kmsREB0vys+nT7UKLXZScNx/0++fWy03ogFjr5ubv9t9+pMhRX/XUjKFVlRxfuGFF9wWVarffffdlACogog9e/ZM+XIVOjxYrIl/W8HJQwveTKc2duzY0BYWEUAAAQQQSC+gYKA3ZEvKJIHeLOHpM+extZTqLtF70d9tBbbSpVKo+0V7jKiBgDdLfbrbdWN5qjz+hJ+q806aNMmNE5rugHT1ZuXLVnf2zzVu3DjXk0aBz6rGyq+Jep9/D+HPbbfd1rXa1fj0SgqAKsirSZD8VJ0AqM5RrHqgfz98IoBA9QTS/9+7eufkaAQQSKhANEij1m5qCaCgSlVJs6nrjfMBBxxgXbp0ScnqV0r8jZkqcdofbSWnCV2qStEKm/JGWzJEj1+wYEHKpvDA7eEdetOtCrI3nlB4c60vl5qfABRE3H///U1B0GhSEFKtKPzKuPbXREU4OvmRrpPrsAVqBfr3v/9dh2RN0YqzutCHA6/R/ZlOWBP/tjJdi+0IIIAAAgjkKqC/T5MnTw6yh/9+BxsjC6qbqFWiWv7p72A0oFhKdZdc630qYjG6/0eo8l7Nx04nV905/MyqqjunqzfrHNnqzgooHn300aahh9KlTTfd1KZMmRLsqol6X3Dy0ILfQtN/Ua0AbfRFeLSVaOjwnBaj9bxC64E5XYxMCCCQVaD4zWqyXpIMCCAQVwG1ZIu29nzooYeyFlezqmtmcI3lqdmnw2MtRd82hytp0RNH90WDRtH82Sps0fxaj7b4DHeLCufX9roOfup+Ss1P4z/ttddeKcFPVQ7/9re/2fvvv++2H3PMMWHKogdANayBxrAqNHkTB6WM4VnVedS6QMFwP3kTF7iZYv31aMXY3x79rIl/W9FrsI4AAggggEC+AtHxETW+t7o3V5W8CRHtlltucfUBvdjW8Ebhbs+lVHfJtd6n8qrnU12nfOx0r/nUnQupN+saBx10UErwU61STznlFHviiSecmVqdhlNtBUB1zXCA05vMyu67777gVtQoQy2cq5OKVQ+szj1wLAII/FeAAOh/LVhCAIFqCujNsD+2j38qb/ZqU4UiU1IlWBPiKKnrzQcffJDyJjnaBVlBskwpum/LLbfMlLXg7eHJl3SSTN3sw60hCr1YNJgc7Y6fy3lLzU8B8fC4qieffLLrcn322Wdb3759XSuQ8H6VUV3sipmefPJJq84A+/lMhuS3LvDvP/pvIVzx9vOk+6yJf1vprsM2BBBAAAEE8hE48MADU15+z5s3z9L1svDPqdaAN910k7/qXnyqztS8efNgWynVXfRyPtxCVXUAjbOZLpVC3U/3G64/qoeVN2N9utu1b7/91vS8/KQAZ7bGA37eXD9nz57tJj7y86vnlHrC3HrrrS4wql5iNV3v86+d7jP6IjpcT4vuS3d8tm3Fqgdmuw77EUAgNwECoLk5kQsBBHIUUNfgxo0bB7n1NlyT3SxcuDDY5i8oeHjsscf6q+6zR48eKYPIq2IdTuo68vHHH4c3uWV1nYm26gtPQFPpgAI3qJtOOOntdbpWoDfccEM4W0HL0cBfeEyiXE9Yan6vvPJKyq1HJ67STgXBw2n16tXh1WovR7+YaegFdcuv6kfB2XCKzrAa3hddzlSB1lhh0YB69NjwerH/bYXPzTICCCCAAAKFCKjnTrQud/HFF7uxHqPnU8+Y008/3caPH5+yKzoETSnVXRTAUi8MP+lldLoJEVU3LcYY2tWt+6kbfv/+/f3bdZ8XXnhhyrq/ctFFF/mL7nOHHXZICfam7CxwJVrv23vvvV2Pr/Dpog0Yil3vC18ruhxtoRnen6n+Fs6Ty3Km8+RbD8zlWuRBAIGqBRgDtGof9iKAQJ4C6ipyzjnn2FVXXRUc+fzzz9vWW29tv/vd72y77bZzXcM1zo5m4Y4G9XRsuOvLbrvtZupe9cUXX7jzrVmzxgYOHGi33Xaba22qvJpIZ/jw4Sldzg8++GDbc889g3so1oKCZQpaaaZMJbUE0P3861//cve5bNkyu+SSS+yZZ56p9iWj44u+9tprblZyDRyvLxzR/ekuWGp+4eC47lfjQWnAeSU9WwX5ol8goi0DXOYC/6PWxq+//nrK0aeeeqr169cvZVt05aSTTkoJzKorv7psVTWplH+OTK08M1WI/eOin8X+txU9v9b1ouJ//ud/0u1Ku02/h+raRkIAAQQQSK7A1Vdfber67o/trVaHmilddSa9jNbfL/39vf/++23ixIkpUGqx+Pvf/z5lW6nVXdRL5fjjjw/uUUM3qRu3tjVr1szVD1THLUaK1u0KqfvpvnScnzS0lJ6H7lvPQhMlXX755Snd0hXovfnmm/1DivYZrfdpoiG1OvXH7VcL0bCtLlzMel+2gijgvOuuu9ro0aMrZc1Uf6uUMcuGTOfJtx6Y5TLsRgCBXAS8t1gkBBBAoKgC3jhOFTvttFOF9/+gvH68IFPa+/BaBFZ43XIqncsLflboJ3od7+13hVehqnSuddZZJyWvN9B7pTzebOQpeVq3bl0pjxfsTMnjX79jx44VDRs2DPZ5lb5gWXl+/vnnlHN5M2+m7PdmGk3Zf95556Xs96+jT6+bVZA323lKyc9r8VmpTNtss02FF8Cu6Ny5c6V9Kqv3xSMoqxaylTclc2TFm3Qh5Rq6ptfSIJKr8qr3Za7C656XcqzXiiXI+I9//CNln9f6JdjntXip8MYBTdmvcnkvAII83peBlP3eF5RgX3ih2P+2vPFMU64b/h3LZVnPk4QAAggggMBjjz1WEa33ZPs74k16WOG9TEyLV0p1F9UTvGGVKv29VN3UG8M02B4t/1lnnZVSNm8c8CCvbI488siU/VrJpe6Xy3m8l5Mp1/KfRbie6m/Tp9catNK9ROs2J554YqU82uCN55lyLW/4qyDfd999V+EFGVP2q07kTYpU4TUgqLTPvyfVu8KpOnU/nSf6HUB1Mz9de+21Kfene/AC8/5u9+m9LE/J8/DDD6fsj1rVVD0w5aKsIIBA3gJ0gff+D0dCAIHiCuht+JtvvmkjRozIuSvNH/7wBzceULo7UatRjduot+3hpBaD+gknjfup7jZeMDK8uajLesvvVWornVMz3vstWq+44opK46FWOiDLhqpaE2QafyrdKUvJT60PNOFBOH300Ud2xx13mGYeVYter1Ic3l2pxWbKzjxW1PVOrU/CSb93uma2pNnp1XoinDSeqVr8Zkt+64JovkwtAqL5wuvF/rcVPjfLCCCAAAIIFCpw6KGHuq7tW221VU6nUAtAzbi92Wabpc1fSnUX1RP0Nz86IdKKFSvMe3Hu7l+9lbwgcNqy5LOxWHU/TeaT7lx+PdW/J7X8VM+lyy67zN9U1E+18NWQCOGkFsKqj6k1qLq7a4gBtcIMp2hvnfC+Yi+na4mZbluh1y1mPbDQe+A4BBD4X4Hs3/qQQgABBAoQ0B97VajU1X2//fYzr6VdpbOoQqlJk9577z3z3qRWOdnN4MGD3YRDZ555ZqUAmk7svRk2jXGkcaXU3b6mk8b4VLd3XTec1D3+gQceqFTZC+fJdVmVf3X1j3aH0peGaAU22zlLxU/BTwXHNQZUNG2xxRau+7sq7b179w5265n6QyAEGwtY0FAM0Rlahw0blvOZomOc5TMZUrQirQkeNthgg5yvHc5Y7H9b4XOzjAACCCCAQKEC+juu8RxV//N6d6SMCe+fUy+ovRZ3rht2trHaS6XuontXYFeT92h80vBs6JqkcMiQIa6+m8+43r5H9LNYdT+vlaWrp2rsfL1wDU+MpGuqbqnhf9555528GixE7zeX9UsvvdR1r2/Tpk1Kdk18ddppp9mECRMqNSzQEEm1lfS72qpVq5TLRettKTsLWImerzr1wAIuzyEIIPB/AvXUZhQNBBBAoDYENOaPKjl626vJjvQmPVyJzPUe1JJPAbHp06eb15XHVUq9ri25Hl70fGqNqQmd1Pq0S5cuRT+/WhlqzKwFCxa4wGC6YHI+Fy0VPwUjP//8c/f7oMqn1xUun2KQNyRQrH9boVOyiAACCCCAQLUEVN/QJJUa/1N1FwUIo715cr1AqdRddL+aKVyTHqk+q0kSC6nLZit3set+qifoOehT44Cqxapaf9Zm0tieX375pXnd4t33gF69euXUC6c275FrIYBAvAUIgMb7+VI6BBBAAAEEEEAAAQQQQAABBBBAAAEEEi1AF/hEP34KjwACCCCAAAIIIIAAAggggAACCCCAQLwFCIDG+/lSOgQQQAABBBBAAAEEEEAAAQQQQAABBBItQAA00Y+fwiOAAAIIIIAAAggggAACCCCAAAIIIBBvAQKg8X6+lA4BBBBAAAEEEEAAAQQQQAABBBBAAIFECxAATfTjp/AIIIAAAggggAACCCCAAAIIIIAAAgjEW4AAaLyfL6VDAAEEEEAAAQQQQAABBBBAAAEEEEAg0QIEQBP9+Ck8AggggAACCCCAAAIIIIAAAggggAAC8RYgABrv50vpEEAAAQQQQAABBBBAAAEEEEAAAQQQSLQAAdBEP34KjwACCCCAAAIIIIAAAggggAACCCCAQLwFCIDG+/lSOgQQQAABBBBAAAEEEEAAAQQQQAABBBItQAA00Y+fwiOAAAIIIIAAAggggAACCCCAAAIIIBBvAQKg8X6+lA4BBBBAAAEEEEAAAQQQQAABBBBAAIFECxAATfTjp/AIIIAAAggggAACCCCAAAIIIIAAAgjEW4AAaLyfL6VDAAEEEEAAAQQQQAABBBBAAAEEEEAg0QIEQBP9+Ck8AggggAACCCCAAAIIIIAAAggggAAC8RYgABrv50vpEEAAAQQQQAABBBBAAAEEEEAAAQQQSLQAAdBEP34KjwACCCCAAAIIIIAAAggggAACCCCAQLwFCIDG+/lSOgQQQAABBBBAAAEEEEAAAQQQQAABBBItQAC0TB///Pnz7ZFHHrGFCxeWaQm4bQTMXnrpJXvmmWds1KhRcCCAAAIIIBA7genTp7v62tKlS2NXNgqEAAIIIIAAAgiUkwAB0HJ6WmnutaKiIs1WNiFQHgL+76//WR53zV0igAACCCCAAAIIIIAAAggggEA5CRAALaenxb0igAACCCCAAAIIIIAAAggggAACCCCAQF4CBEDz4iIzAggggAACCCCAAAIIIIAAAggggAACCJSTAAHQcnpa3CsCCCCAAAIIIIAAAggggAACCCCAAAII5CXQIK/cZEYAAQSKKLDjjjvamjVrrF69ekU8K6dCAAEEEEAAAQQQQAABBBBAAAEE/itAAPS/FiwhgEAtC7Ru3bqWr8jlEEAAAQQQQAABBBBAAAEEEEAgaQJ0gU/aE6e8CCCAAAIIIIAAAggggAACCCCAAAIIJEiAAGiCHjZFRQABBBBAAAEEEEAAAQQQQAABBBBAIGkCBECT9sQpLwIIIIAAAggggAACCCCAAAIIIIAAAgkSIACaoIdNURFAAAEEEEAAAQQQQAABBBBAAAEEEEiaAAHQpD1xyosAAggggAACCCCAAAIIIIAAAggggECCBAiAJuhhU1QEEEAAAQQQQAABBBBAAAEEEEAAAQSSJkAANGlPnPIigAACCCCAAAIIIIAAAggggAACCCCQIAECoAl62BQVAQQQQAABBBBAAAEEEEAAAQQQQACBpAkQAE3aE6e8CCCAAAIIIIAAAggggAACCCCAAAIIJEigQYLKSlERQKDEBKZPn26rVq2yevXqWffu3Uvs7rgdBBBAAAEEEEAAAQQQQAABBBCIgwAB0Dg8RcqAQJkKTJ482ZYvX27169cnAFqmz5DbRgABBBBAAAEEEEAAAQQQQKDUBegCX+pPiPtDAAEEEEAAAQQQQAABBBBAAAEEEEAAgYIFCIAWTMeBCCCAAAIIIIAAAggggAACCCCAAAIIIFDqAgRAS/0JcX8IIIAAAggggAACCCCAAAIIIIAAAgggULAAY4AWTMeB5SxQUVFhn3/+uX355Ze2bNmyci5KTveuSYbWXntt22qrraxdu3Y5HUMmBBBAAAEEEEAAAQQQ+K/AV1995b5DLFmy5L8by3ipcePGbhz+LbbYwo3JX8ZF4dYRQACBrAIEQLMSkSFuAr/88ovdfffd9s0331izZs3cjybhiXNas2aN/fjjj/bss8/aPvvsY/vuu2+ci0vZEEAAAQQQQAABBBAomoAaTNx///2mCTybNm1qzZs3j0XAcOnSpTZmzBjr1KmTnXDCCdahQ4eimXEiBBBAoNQECICW2hPhfmpUQIHAO++80+bPn28nnXSSbb755qbWkUlImm39+eeft9GjR7tK22677ZaEYlNGBBBAAAEEEEAAAQSqJaDgp1p/Hn300danTx9ba634jCSnRiEPPvig3XbbbXbBBReYWoWSEEAAgTgKxOf/3HF8OpSp6AKffvqpfffdd3bMMceYunokJfgpyCZNmtjQoUOtb9++NmrUKFu5cmXRfTkhAggggAACCCCAAAJxEtCQWWr5efjhh9u2224bq+CnnlOPHj3s5JNPdr3F3nrrrTg9OsqCAAIIpAgQAE3hYCXuAlOnTnVjYG6yySZxL2rG8vXr18/U3WXGjBkZ87ADAQQQQAABBBBAAAEEzI35qWGz1PIzrqljx47Ws2dP03clEgIIIBBXAQKgcX2ylCutgAJ/rVu3TrsvKRvbtGnjihqXwduT8twoJwIIIIAAAggggEDtC+j7Q8uWLWPX8jMqqe9IfD+IqrCOAAJxEiAAGqenSVkQKDMBjZ/k/5TZrXO7CCCAAAIIIIAAAgjERiBJQ4PF5qFREAQQyEuASZDy4iIzAggUU2CvvfYq5uk4FwIIIIAAAggggAACCCCAAAIIIFBJgABoJRI2IJCbgCYRmjlzpi1evNi6dOliftfy3I5OzVXIuRYtWuSu37BhQ+vatSszNqaSsoYAAggggAACCCCAQK0L/Pjjj66Orm7znTt3NtXVC00LFiywH374wQ3h1alTJ2vUqFGVp9J3ijlz5piO07ilHTp0SPzwX1WCsRMBBBIlQAA0UY+bwhZLYOzYsfbMM8/Y6tWrg1N269bNjjvuOGvbtm2wLZeFfM+lStWjjz6aMki5uqxst912duihh2atGOVyT+RBAAEEEEAAAQQQQACB3AUWLlxod999t02fPj04qH79+jZ06FDr379/sC2XhYkTJ7r6/i+//BJkVyD1t7/9rTuXhpCKpnHjxtnIkSNd44zwPs1cr3tI+jwIYROWEUAgmQKV/8+ZTAdKjUDOAs8//7w99dRTKcFPHfzdd9/Ztdde62ZYz/Vk+Z5LlaBrrrkmJfipa1VUVNgHH3xgN9xwgy1fvjzXy5MPAQQQQAABBBBAAAEEqimgyYP0PSAc/NQp1VjiiSeesBdffDHnK7z77rt21113WTj4qYPVulPfQfQTTe+995499thjlYKfyvfhhx+684UbbkSPZx0BBBBIggAB0CQ8ZcpYNIFff/3V1GLTTwMHDrSjjz7aOnbs6DapO/xbb73l767ys5BzPfnkk8HsjOrScvjhh9tBBx0UtPpUl/xcr1/lzbETAQQQQAABBBBAAAEEchJQ/dufQV1d1fX9YM899wyOffXVV011/2xJjRpeeOEF17hBedXD68QTT7Sdd945OPT111+32bNnB+taePbZZ4P1bbbZxs4880zXM6xFixZu+/fff28TJkwI8rCAAAIIJFGAAGgSnzplLljgnXfesWXLlrnjN9poIxsyZIj53Ur8k6pSkssb1nzPtWrVKvv444/dZdTt5bTTTrOddtrJdt99d9tnn338y7sArd4QkxBAAAEEEEAAAQQQQKBmBVRHV/3fT4ccckjw/UBDZCktXbrU1EozW5o2bZobv1P51MDiyCOPtC233NIFM9dZZ53g8G+//TZY1rwA+lHSGKFqILHhhhtav3793HcFP2O0daq/nU8EEEAgKQIEQJPypClnUQQ+//zz4DxbbLFFsLz55psHrTBVAZk1a1awL9NCvueaN2+erVmzxp1u7bXXTpl0KXwvun64UpTp+mxHAAEEEEAAAQQQQACB6gmo3u93V1cAsmfPnsEJ+/TpEyxPnTo1WM600KNHD7vuuuvsT3/6kx111FGmcf6V1DI03MCiXbt2wSk02ZE/OVKDBg1M4476yd+udX1/ICGAAAJJFiAAmuSnT9nzFvj555+DY8IVD20Mv5UN5wsOiCyE8+RyrnC3GVVuwklviMPbwucO52MZAQQQQAABBBBAAAEEiicQrnfnUqfPduUmTZrYBhtsYF27dnVZNQHq6NGj7aeffnLrrVq1MgVK/aTvAL169XKrammq8UbVHf/LL7809ThTUiB1s802c8v8BwEEEEiqQGoUJakKlBuBHAXCFZzGjRunHBVeD+dLyRRaCecJH6ss4XU/nz/OqPZrlkl1c9dskEqagEndb/zkV5D8dT4RQAABBBBAAAEEEECg+AJ+XV1nDtfho+t+N/V87kDjdt5zzz3BIfo+MHz4cIvOAj9s2DB78MEH7bPPPnNjiGocUT8poKrWpNHgrL+fTwQQQCApArQATcqTppzVFlD3c797i04WbnGpdT8YqeVwRUjr0VTIuZo2bWrrr7++O9WKFSvcDJB6y6uJl8ITMykDAdCoOOsIIIAAAggggAACCBRfIFzvD38f0JXC6wqA+sNZ5XoXc+fOTcm6ySabmFqARpOCnLvuumulwKjy6fuDxgQlIYAAAkkXoAVo0n8DKH+KgCow6QYo19tcVSqqShqbx0/Rt7L+9lw/M51Lg6pff/31bhwgzTb5wQcfuIpUdNKjcGUr12uSDwEEEEAAAQQQQAABBPIT8MfpTHdUuE6v/VXlTXe8xu0cPHiw686u+QPeeOMN18rzmGOOcd3k/WNee+011zhC19M1ND+AZorXHAJffPGFXXvttW42+XXXXdc/hE8EEEAgcQIEQBP3yClwVQLqWj5y5MhKWVq0aGH9+/e3li1bBrMshruc64BwELJ169aVzhHeoABpIefSTJInnniiPfzww25sH39cUG1XZcef/KhNmzbhy5Xs8qeffmpqzSqPbbbZpmTvkxtDAAEEEEAAAQQQQCCdQLhFZrbvB/kGQLfbbjt3yUGDBtkzzzxjY8aMMY0J+thjj9mFF17o9qmH2pNPPumW1Qji/PPPtw4dOrgGE//5z39cT7H58+fbyy+/7GaVT1cGtiGAAAJJEKALfBKeMmUsmoCCln5avny5v+g+/WCkVsIVoZRMoZVCz6U3updeeqkLhA4dOtROOeUUO/PMM1PGAC2XAKhmzZw5c6b98MMPIRkWEUAAAQQQQAABBBAoD4FwnX7ZsmUpN53v94OUgyMrfjBUm8Mzz6tlqJ800ZGCn0oKtvbr18/fZZMnT867C35wMAsIIIBADARoARqDh0gRiifQvHnztC0RNf6mkgKbCtgpLViwwH3qPxrPR29W/ZStBajyVedcGn908803D8b5UetTdXHxk7rLkBBAAAEEEEAAAQQQQKBmBcINH/T9wO+GrquG6+e5fD9Qby7N3q5WnpoJvm/fvsHNR8cP9dcVDPVTdI4C/zuM9mtmeAVo9X2HhAACCCRRgABoEp86Zc4ooDemGlMnU1LQccqUKW63xt/cc8893dvVSZMmBS0w11lnHQuPr6M3v6pwKKlS4leSCjnXHXfcYdOmTTNNfnTCCSdY79693Xk/+ugj898wr7feeta1a1e3nf8ggAACCCCAAAIIIIBAzQmo3q1WoOqKrqGdNMTTVltt5QKhmsXdT+rFFU6atNQPYup4dV+fMWOGPfvssy6bZnTXEFH169d36x9//HFwuPL7AdXOnTsH2ydOnOiG5fLnA9C9+EnHEPz0NfhEAIEkChAATeJTp8wFC+ywww723HPPmbq/qyXoo48+al26dLFXXnklOOfuu+8etMzUxk8++cQeeught18zMKq7ulIh51JwVcFWpaeeesq9HVZF64UXXnDb9B+NEURCAAEEEEAAAQQQQACBmhdQgFKTpY4ePdpdTHV0BTenT5/ufrRRwcdwF3Zt+/vf/x70KDvttNNs4403ti233NLV8dW7S+e44YYbbPvtt3etQsPBzF122UWncEnfLxo1auSCr2oQceONN9puu+3mWp9q0lQ/+Q0n/HU+EUAAgaQJEABN2hOnvNUSaNKkie27776mAcWV3n333ZTzqev5TjvtlLIt00oh5xowYICNHz/etQBVF5snnngi5fR6S6w3ziQEEEAAAQQQQAABBBCoHQEFJN9//303JJYmVY3W0dVAwW+VWdUdqVXn4Ycfbg888IDL9v3335t+wkkBz3CDB439f8QRR9i9997rsinw+sgjj4QPsbZt29qQIUNStrGCAAIIJE2ASZCS9sQpb7UF1O1d3eT1JtdPGmRcg46fd9551rhxY39z1s98z6UAqyY9inZx170cdNBB7r40ozoJAQQQQAABBBBAAAEEakdAdfFzzz3X1M09XBdv1qyZHXXUUda/f/+cb0QtRU899VTr1KlTyjFq5Tl48GBTa1G/W7yfoU+fPjZ8+HDTUFjhpO8oGkdU31HC44GG87CMAAIIJEWAFqBJedKUs6gCammpH73hXbRokWnsHVVK0iV1W9FPppTPuXSObt26uQqWBkfX9dUtXm91SQgggAACCCCAAAIIIFA3Agp2nnTSSW4MTg2VpaCo6umZ0mWXXZZpl/Xq1csuuugiN66oJlLSudq1a+fmHsh0kOYX0I++m+gYNcro2LFjTi1PdU5N3kRCAAEE4ixAADTOT5eypRUo5h93tcgs1ozr+ZxLb3PzyZ8Wgo0IIIAAAggggAACCCBQpUC+3x3U1b179+5VnjPXnQp86iefpAlX/UlX8zmOvAgggEDcBegrG/cnTPlSBNRKUxMYJTktW7bMFT+frvpJ9qLsCCCAAAIIIIAAAskVUJ3Zrz/HWUFl5PtBnJ8wZUMAAQKg/A4kSkBvY2fNmmVz585NVLnDhZ0wYYI1aNDAzV4f3s4yAggggAACCCCAAAIIpAro+4O6lU+bNi11R4zWlixZ4maaL1bL1RjRUBQEEIiRAAHQGD1MipJdQIOAa3bFe+65xzSGZtLSxx9/bGPGjLF+/fqVxEDoGhepffv2bkyjpD0LyosAAggggAACCCBQ+gJbbrmlm5BIM7PHsRGFgp+aQX7NmjW22267lf4D4Q4RQACBAgXqeWOaMNpxgXh1edj8+fPtxRdftH322afKwbXr8h5L9drTp0+322+/3XVl2Xjjja1FixaleqtFuy9VaNTyVQOya3D04447LucB0Yt2E5wIAQQQQACBhAmozvHGG2/Y0KFDTROkkBBAoDwFFPi89dZb7aeffrKePXu6BhXlWZLUu166dKl99dVXLvh5/PHH26abbpqagTUEEEAgRgJMghSjh0lRchPo2rWrm1XxzTffdF09FBiMe1prrbVcS8tBgwbZ1ltvXeUMknG3oHwIIIAAAggggAACCOQj0KFDB7vgggvs7bfftqlTp7qGBfkcX6p5Nebnrrvu6n7atm1bqrfJfSGAAAJFESAAWhRGTlJuAs2bN3etZ9WCloQAAggggAACCCCAAAIIVCXQpEkTGzBggPupKh/7EEAAAQRKU4AxQEvzuXBXCCCAAAIIIIAAAggggAACCCCAAAIIIFAEAQKgRUDkFAgggAACCCCAAAIIIIAAAggggAACCCBQmgIEQEvzuXBXCCCAAAIIIIAAAggggAACCCCAAAIIIFAEAQKgRUDkFAgggAACCCCAAAIIIIAAAggggAACCCBQmgIEQEvzuXBXCCCAAAIIIIAAAggggAACCCCAAAIIIFAEAQKgRUDkFAgggAACCCCAAAIIIIAAAggggAACCCBQmgIEQEvzuXBXCCCAAAIIIIAAAggggAACCCCAAAIIIFAEAQKgRUDkFAgggAACCCCAAAIIIIAAAggggAACCCBQmgINSvO2uCsEMgssX77cFi5cmDkDe2pUYK211rJOnToV5Rqvv/666XnWr1/fBg4cWJRzchIEEEAAAQQQQAABBHyBpUuX2k8//eSv8lmDAs2bN7fWrVvX4BU4NQIIIFC4AAHQwu04so4EvvzyS7vrrrvq6OpctkmTJnbdddcVBULBTz8AWpQTchIEEEAAAQQQQAABBEICn3zyiT366KOhLSzWlEC/fv3s0EMPranTc14EEECgWgJ0ga8WHwcjgAACCCCAAAIIIIAAAggggAACCCCAQCkL0AK0lJ9OAu9twYIFpp+q0g8//FDV7pLc16hRI9cdpFmzZtagQQOrqKiwFStW2OLFi23RokW2Zs2akrzvdDele/3iiy/S7UrZ1r17d1O5SQgggAACCCCAAAII1ITAqlWr7Jtvvqny1HPmzKlyf6ns1JBQrVq1shYtWljDhg2tXr16tnLlSlMX/p9//tktl8q9ZroP3We27wmdO3d2Zcx0DrYjgAACNSVAALSmZDlvQQKTJ0+2d955p8pjly1bVuX+Utqpysu6665rbdq0cZWY6L2ts846poqbKmbz58+P7i7JdVXEnn766az3dvzxx9vaa6+dNR8ZEEAAAQQQQAABBBAoRODXX3/NWi9dsmRJIaeutWMU6OzQoYO1b9/ejYsfvXDbtm1NQUPNgTBr1ixbvXp1NEvJrE+bNs0Fa6u6oQMPPNA22mijqrKwDwEEEKgRAQKgNcLKSREwU2vPDTbYwLX4bNq0qW2yySa23nrruTeeCnpqMPZvv/3Wvv76a7e9ZcuW9t1335VVa1CeMwIIIIAAAggggAACCBQmoFaf6jWlVp+aaFSBwW7durmeY1pXb7Hp06fb559/bmo4oe8LCjJqDH0SAggggEB+AgRA8/MidwaBGTNmZH3bl+HQlM16q5mthae6jpd6aty4sfXo0cO9xe3Vq5ftsMMOritL+L71NlcB0q233trGjBnjdqnCo0pNKSd138/2jHT/6v6iSlpVae7cuW4oAFXwJk2alDarTFQpJCGAAAIIIIAAAgjER0Bdu6tb71UgMFu9tFS/O6jlp74LaOb0du3a2Z577um6wIefsLrEq/Wnvi+8/fbbrru/vmNoUlj1yiq1pEYe2Z6Hnrla7lYnderUyQWEq3MOjkUAgeQJEABN3jOvkRJ///33pp/qptmzZ2d9o6k/rKWeFLTTG92tttrK+vbtW+XtKhA6ZMgQe/bZZ10+dX+ZN29elcfU5U5V1nJ566w31QoEV5XU9V/PUwHQzz77LG1WdaMnAJqWho0IIIAAAggggEDZCqhreqb6X66FUj0yW720FAOFKp+CeAp+qu6/3377uV5jmcqtOrUCpBpeS3Xs9ddf3/Uiy5S/rrZrroBsz0MB0GxzPmS7f33PUotYEgIIIJCPALPA56NFXgRyENB4n+ryrrF8tttuuxyOMDdZ0IABA9w4oR07dnQBwZwOJBMCCCCAAAIIIIAAAgiUlYAmRVWrTwXyBg4cWGXwM1ywfv36ubkF1DggW0+r8HEsI4AAAgiYEQDltwCBIgv4E/9su+22aSc+ynQ5tQTdcMMNXUVI3V1ICCCAAAIIIIAAAgggED8BNZhQD6hNN93UtQLNtYQ6pk+fPi67vjuQEEAAAQRyFyAAmrsVORHISUBvZNVNRbO/55s0DpASb3TzlSM/AggggAACCCCAAALlIeDX9f26fz53re7vCoT658jnWPIigAACSRZgDNAkP33KXnQBjcujMTJbt25dUDd2vQ1WatSoUdHvrRRPqJauGitIZiQEEEAAAQQQQAABBJIgoO8MSn7dP58y61g1uFi0aJGrQ2uCUhICCCCAQHYBAqDZjciBQM4CehurpHF9Ckn+cUkJCNLVv5DfEo5BAAEEEEAAAQQQKGeBYn1n0HlWr15dzhTcOwIIIFBrAnSBrzVqLpQEAX+WSc1qWUjyjyuHme4LKR/HIIAAAggggAACCCCQdAG/ru/X/fP10HHqRUXwM1858iOAQJIFCIAm+elT9qILqCLy66+/2s8//2yLFy/O+/wzZ850xyxdujTvYzkAAQQQQAABBBBAAAEESl/Ar+v7df987nj+/Pnu+8ayZcvyOYy8CCCAQOIFCIAm/lcAgGILKPipNGnSpLxOrTfBU6dOdcf458jrBGRGAAEEEEAAAQQQQACBkhfw6/qTJ0+2fMfw9L9j+Oco+cJygwgggECJCBAALZEHwW3ER2DevHmuS4oqJ1rONY0fP97UnUWVGbUiJSGAAAIIIIAAAggggED8BFTnV2+xH3/80T755JOcCzhjxgz78ssvTQ0nFixYkPNxZEQAAQQQ8OZqAQGBYghoNsKmTZtW+1T+LOpVnajUJwhShWTWrFm23nrr2YsvvmiDBg2y9u3bV1Uk+/jjj23ixIluHJ8ffvihyrx1vVNvqXN5Bk2aNDH9VDf5g8RX9zwcjwACCCCAAAIIIFA6AvXr16/29weNv5+tXpptf12JqPt7z549TY0gGjVqZJtttlmVt6LvCK+88orLo2M19FYppmzeKmt1vzfqOyMJAQQQyFeAAGi+YuRPK9C3b9+02/Pd+Oabb7pWkFUdp/FuSn3MG43N07hxY2vXrp2NHDnStthiC9t8882tefPmQdEUSJwzZ459+OGHLmCqSsy0adNsxYoVQZ5SXFClpk2bNllvba+99rK11147az4yIIAAAggggAACCCRPQPXEIUOGVKvgakn5zTffVHkO5Vm+fHmVeepip+7pu+++s+7du9u4ceNMrTu32WYb9/0hfD+//PKLffbZZzZlyhTXXX727Nn2008/hbOUzLKCm9m+J+yyyy620UYblcw9cyMIIJAcAQKgyXnWlLSWBfRmVl3Z1113Xfv000/dT9u2bV0QVDM2quLiB3L9ClApVs5qmY3LIYAAAggggAACCCCQCIFFixbZV199Zd26dbPvv//e/ajBRKtWrUy9oNRN3h/rU98f9P1C3eZJCCCAAAL5CxAAzd+MI2pQoHXr1rb++utXeYWFCxeaWliWQ9J9KtCpLvB6G6oKi19pUQtQvZHWuspULkmVsWzPSGWha0q5PFHuEwEEEEAAAQQQKE8BdaPPVi9Vj6tSrmtrRnhNhLrOOuu47wv+dwT/iahBhb5PaG4BBUFLObVUlIPTAABAAElEQVRo0SLr82jWrFkpF4F7QwCBGAsQAI3xwy3HovXu3dv0U1Xyu4BUlaeU9vljgmpcUFXSFBhUd3eNWaQKTrkl3f+hhx5abrfN/SKAAAIIIIAAAgjETEDjzWerl77zzjuulWUpF13fCdRwQj9qbOA3JND3iFIPeoZd1bU92/MI52cZAQQQqE0BAqC1qc21Ei+gCkw5VWJq+oFpCAA/CMzb4JrW5vwIIIAAAggggAACpS6ghhJq9UlCAAEEECiuAAHQ4npytloQUPcQDZ5NqhsB/410Ma7+xhtvuEHp1TJ28ODBxTgl50AAAQQQQAABBBBAIBDo1KkT3x0CjZpd2HDDDWv2ApwdAQQQqIYAAdBq4HFo3Qh07tzZfv/739fNxbkqAggggAACCCCAAAIIlI3ABhtsYPohIYAAAggkW2CtZBef0iOAAAIIIIAAAggggAACCCCAAAIIIIBAnAUIgMb56VI2BBBAAAEEEEAAAQQQQAABBBBAAAEEEi5AADThvwAUHwEEEEAAAQQQQAABBBBAAAEEEEAAgTgLEACN89OlbAgggAACCCCAAAIIIIAAAggggAACCCRcgABown8BKD4CCCCAAAIIIIAAAggggAACCCCAAAJxFiAAGuenS9kQQAABBBBAAAEEEEAAAQQQQAABBBBIuAAB0IT/AlB8BBBAAAEEEEAAAQQQQAABBBBAAAEE4ixAADTOT5eyIYAAAggggAACCCCAAAIIIIAAAgggkHABAqAJ/wWg+AgggAACCCCAAAIIIIAAAggggAACCMRZoEGcC0fZEECgtAX69u1rq1evtnr16pX2jXJ3CCCAAAIIIIAAAggggAACCCBQtgIEQMv20XHjCJS/wNprr13+haAECCCAAAIIIIAAAggggAACCCBQ0gJ0gS/px8PNIYAAAggggAACCCCAAAIIIIAAAggggEB1BGgBWh09jkUgR4FffvnFVq1alWPu2s/WqlUrq1+/fu1fmCsigAACCCCAAAIIIBAjgVKv94u6YcOG1qJFixipUxQEEEAguwAB0OxG5ECg2gKDBw+2yZMnV/s8NXWCV155xXr37l1Tp+e8CCCAAAIIIIAAAggkQqDU6/16CAMGDLDHH388Ec+DQiKAAAK+AF3gfQk+EUAAAQQQQAABBBBAAAEEEEAAAQQQQCB2ArQAzfJI16xZY8uXL7dmzZplycluBP4rMGPGDFu0aFGw4ddffw2WC1nQLOndunWzjTbayNq0aWMNGjQwda+ZOXOmTZ061f2OFnJe/5hvvvnGndNf33TTTZmZ3cfgEwEEEEAAAQQQQACBDAKqR+v7op+qW+/XedRFvWfPnta9e3dr2bKlVVRUuO8WutbXX39tq1ev9i9X0OfixYtTeqfpGl27di3oXByEAAIIlItA2QdAv/jiC7v22mud95VXXmmdOnXKav/SSy/Zv/71L/c/+T//+c+V8k+ZMsVGjhxpX331lemPjP6I6Y/ChhtuaPvvv7/tvvvu7o9S9MD333/f7rrrLrf5tNNOs6222iqaJVj//vvvTferAOu5555rm2yySbCPhfIXeOCBB2zs2LFBQRSoLDSpa/qgQYMs04zpGlv0nXfesVdffTWl8pXP9a677jpr2rRpcMgLL7yQEhANdrCAAAIIIIAAAggggAACgcD1119vn3/+ebBenXq/xuTfddddrX///takSZPgnP6Ctit4qeGr3nvvPRcY9ffl86mhuU4//fTgkJ133tlGjBgRrLOAAAIIxFGg7AOgahH3448/2ty5c+3ll1+2YcOGZX1OTz75pPsjteeee6bkVSDpwQcfdD/+W7XmzZvbOuusY3PmzLEJEya4H+W5+uqrrUuXLinHb7/99qZzjxs3zq644gq7//770w4urYDqJZdc4oKrBx54IMHPFEVWfAFVgA444ADbbrvt3KZ1113XvQVWC1DtW7JkiWsBqrfAqihtttlmpsDrvHnz/FPwiQACCCCAAAIIIIAAAmUgoAY3RxxxhK2//vquJ9YGG2zgGuxouxrNqHeZGtHoZ8iQIdarVy977LHHXGOdMiget4gAAgjUuUDZB0DXWmst+81vfuOCjWrZmS0A+t1337nm/gog7bvvvikP4LzzzrMPPvjAdM5DDz3Uhg4dago6qfuxgqNq0XfHHXfYt99+ayeeeKLdfvvtrlty+CTnn3++HXXUUS5gesMNN9ill14a3u2WtV0tSzfeeGM79dRTK+1nQ+kLLF261CZNmpTxRmfNmmXK4yd1W8k3HXTQQdanTx/XMnOPPfawzp07VzqFWiUrQPr222+7fSeccILdcsstKd3vKx2UZoO67YTvcfz48RlnhVcra7rIpEFkEwIIIIAAAggggEDsBKZNm2bz58/PWK4FCxZUu97fqFEjO+6446xjx47WoUMH1wK0devWKdfUdwEFPXU9fS9VD8IjjzzS7rnnHhcgTcmcZUWNfcLfVdTYR9+DMyVde7311su0m+0IIIBAWQiUfQBUyn4AVIHJL7/80o2XkklfXXuV+vXrZ23btg2yqfWo/qevPz4333yzbb755sE+LWjMxb322sud++STT3bjL1511VUuCKpgqp90zgsvvNB1a9c5d9ppJ3ecv//555+30aNHuzFFL7/8cnc9fx+f5SOgVsdVzZyobiULFy4MCqQAej5JQU0FPzX2rN7wqiVypqQ8AwcOtDfffNM0JMRhhx1md955Z6bsabf//PPPKV3e//nPf7oXAeky77bbbgRA08GwDQEEEEAAAQQQQCB2AupqXlVwUAFS1aX9lG+9X8epvq/gp4KMe++9d8aGCMqr3okalm3UqFFadd8D1BAon7Ry5cqU7yqaU6Cq7zb6rkEANB9h8iKAQCkKxGIWeLXS9LsJv/jiixmd1XXA3//b3/42yKe3X7feeqtb/8Mf/lAp+Blk9BY0ELXG7lTQU2OFatzFaNpxxx3t4IMPdps1JozeqCnpj6PWldTaNNqF3u3gP4kXULBdFR8lVTaqCn76WGqlvMsuu7hxQvU7qu7w5ZB++OEHmz59umnSKBICCCCAAAIIIIAAAkkTUO8qNXzQmJ8aoi3cuCaThRrtqHGO8moorFatWmXKynYEEEAAgf8TiEUAVGXZb7/9XJE0ILQCnenShx9+6MZHVLcCjdfppzfeeMN1JdDYigqAZkvbbrutKcipNGbMmLTZhw8fbhq3ReM0aoIZvWVTi0+N/6k3dgMGDEh7HBsRUHcWjfWjQKZ+V3NNGrpBv5tK/guBXI+tq3yfffaZffTRR25s3bq6B66LAAIIIIAAAggggEBdCajersYMW2+9tTVu3Djn22jRooVr9KDGE1VNvpvzCcmIAAIIxFwgNgFQdctV0Ejjsyigki6p+7mSgqUKFvlJLdCUNKFSrn90NH6nkrpDhMdOdBu9/+g8l112mevirm4Tf/zjH02T1WjMxvCMe35+PhHwBRQAVerRo4e/KedPjc3ZsGFDN1RD+Hc85xOQEQEEEEAAAQQQQAABBGpNwP9eWUjd3z/G//5QazfNhRBAAIEyFPhvFLAMbz58y+oGMGjQILdJY29Gk7q5q6Wn3q75rUX9PH4AVF3pc03+Hyq17Pzpp5/SHqY/SGoJqqQxIZs2bWojRozIOciq4zTLn8Y1jf7496w8pHgJ+GPTrr322nkXTEFPtWTWm2C9FSYhgAACCCCAAAIIIIBA6Qqo7q/u7xrXP9/kf1/wvz/kezz5EUAAgSQJxCYAqofmBzZfe+0119U8/CA1U566n/ft29cNMB3epyCjUj4BUHVv91OmAKj2q6u83xJPM/m1a9fOPyynT3URfv/99yv9KKBKiqeA3wpZLTkLSXoZoOSfp5BzcAwCCCCAAAIIIIAAAgjUrIDG8FTDhULr/Tpe3zWp99fsc+LsCCAQD4FYzALvPwp1YVfz/88//9zGjRtne+yxh7/L/O7vgwcPDrb5C/4fHLUSzTWFg56ZWtqtWLHCdYPXmKRqeTp79my74YYb7OKLL871Mrbvvvumzauu/ulauqbNzMayEli8eLG732XLluU0AVK0cP7vsX+e6H7WEUAAAQQQQAABBBBAoO4FVq9ebarzKwiqYdX0nTGfpAY++q5JvT8fNfIigEBSBWLVAlQP0Q9w+rO9a5tmmv7kk09c12DNkhdN/kQz+XQrnzlzpjuN3rj5XQ+i573tttvsiy++sM6dO9ull17qduu+8glc6vyZfqLXYz0eArNmzXIF0e9tvkkVqB9//NENy6BlEgIIIIAAAggggAACCJSugBrJrFq1yk3Wm+9d+t8X/O8P+R5PfgQQQCBJArELgA4cONBNPPTuu+/aokWL3LN84YUX3Oc+++zj3q5FH7A/a95XX32VdkKjaH6tq5Wp0qabbmrqehBNGm/0ySefdG/xLrjgAtN96fpK119/vWsNGj2GdQQk4A9voN8xvdHNJ02ZMsVl98+Rz7HkRQABBBBAAAEEEEAAgdoVmDRpkrugX4/P5+pTp0512an756NGXgQQSKpA7AKg6o6uru/qTqCxQJX81qB+61C3MfSfAQMGuFaWatU5evTo0J70i3PmzLGnn37a7dx7770rZdJbvKuvvtptHzZsmG299dZu+ayzznLjjC5ZssRNhqR7JCEQFdDvoYLxP//8s3366afR3RnXNSyD8uv36u23386Yjx0IIIAAAggggAACCCBQGgLjx483fT/UpLf5tOT8+uuvTd8b5s2bZ34QtTRKxF0ggAACpSkQuwComP1ApwKgakWnrgFbbrmldevWLe1TWGeddeyAAw5w++644w5TgDNTUveEm266yTS+Z/v27S0aANX+P//5z24cls0339yOOeaY4FSa2e+SSy5xwVZNbvTAAw8E+1hAICzw3HPP2cqVK00VIr+1cXh/dFnBUgX69fun3/uFCxdGs7COAAIIIIAAAggggAACJSagcTz9RjhjxoyxuXPnZr1DDd2mHocaN3TkyJF59xrLegEyIIAAAjEUiNUkSP7zUYvLLl262EcffWTPPvus2/zb3/7W3532c/jw4fbBBx+Y/pgcffTRdu6559qee+6ZklezxY8YMSIISF100UUWnQDprrvucl2YFezUuJ8a0DqcFIhVq1AFP/WjWem1jVReAuutt54byiDTXV911VU2duzYYLfe6ubT4ldB+H/+8592+OGH25tvvumC+Ntuu621atUqOKcWFPBU1xf9risor8C6Kk75po4dO1rTpk2Dw6677rpKv7vBThYQQAABBBBAAAEEEEiIwKGHHmr6yZROPfXU4Puh8uRb79cxqsurPr7bbruZGkJoiLYtttii0uzumuxUc1v4LT5HjRrlWo7qHPmkJk2auO/L/jE777yz+57rr/OJAAIIxFEgNToXoxLut99+duedd7o3Ys2bN0+ZET5dMRX8ufXWW01BTQWR1Irzb3/7m2lmeQU51SVBXduVWrZs6WZyV0AqnDTu6GOPPeY2nXPOOW7yo/B+f1kB1vfff980zssVV1xh9913X0Gzffvn4zOeAqrY3HPPPXbYYYeZurjoR62V27Rp48adVeVKv5MKrOrtr94C+8M9xFOEUiGAAAIIIIAAAgggEE+B559/3g2Bte+++9rHH39sEyZMcEFRffdUXV/zW/itQ9Vq9KmnnspruKx4qlEqBBBAIHeB2AZANeHQ3Xff7YJDe+21l+ktV7bUtm1bu/nmm02TJj3xxBMu4KQ/Pn5S4EnnPfjgg90fI3+7PjX2ypVXXuk2DRo0yHTNTEmtQtUV/thjj3XjvGhSJH+W+EzHsL28BNq1a2ddu3YNbnratGm2fPnyYD3XhW+++cbUGnOXXXaxPn36uMMWLFgQHK7KjwLp6vZe1dANwQEZFvTGuXXr1sHeevXqBcs1uVDVv5OavC7nRgABBBBAAAEEEECgGAKqR6tlpp8Krffr+HHjxrnehJrTQsOpKfDpN8LRfn+OgNdff921NNW2QpIa/4S/q+i7CwkBBBCIu0A973+qFXEvZKHl01s2DUStwJX+sGnMz3Qzvhd6/uocN3/+fNfaTwFZtQoklbZA//79g9ndq3OnCsLrp2HDhu4tsH4P8ulan+nar7zyivXu3TvTbrYjgAACCCCAQAEC/jh9Q4cONQ2PREIAgfgLFKverwYJ+v6pIbDWrFkT1P2LIahJgB9//PFinIpzIIAAAmUjENsWoMV4AvpjEx1zsRjn5RwIFCqgmd71Q0IAAQQQQAABBBBAAIH4Cqidkrq8+93e41tSSoYAAgjUjgAB0Npx5ioJF1AX9vXXX79kFcLd30v2JrkxBBBAAAEEEEAAAQRKXKDU6/3i0yRLJAQQQCBpAgRAk/bEKW+dCGhWeBICCCCAAAIIIIAAAgjEW4B6f7yfL6VDAIHyFVirfG+dO0cAAQQQQAABBBBAAAEEEEAAAQQQQAABBKoWIABatQ97EUAAAQQQQAABBBBAAAEEEEAAAQQQQKCMBQiAlvHD49YRQAABBBBAAAEEEEAAAQQQQAABBBBAoGoBAqBV+7AXAQQQQAABBBBAAAEEEEAAAQQQQAABBMpYgABoGT88bh0BBBBAAAEEEEAAAQQQQAABBBBAAAEEqhYgAFq1D3sRQAABBBBAAAEEEEAAAQQQQAABBBBAoIwFGpTxvXPrCCBQ5gKTJk2ylStX2lprrWW9e/cu89Jw+wgggAACCCCAAAIIIIAAAgggUIoCBEBL8alwTwgkRGDGjBm2fPlyq1+/PgHQhDxziokAAggggAACCCCAAAIIIIBAbQsQAK1tca4XK4GvvvrKFMRbs2ZNrZarXr16tXo9XaxVq1a2+eabW5MmTWr92lwQAQQQQAABBBBAAIFSEli6dKlNnDjRFi9eXOO3VRt1/9atW7u6fuPGjWu8PFwAAQQQqAsBAqB1oc41y15g/Pjxds4555i6cCcptWzZ0s466yz74x//aLVREUuSLWVFAAEEEEAAAQQQKH2BVatW2XXXXWd33HGHKQgap6QgqL7jDB8+PE7FoiwIIICAEyAAyi8CAnkKfPDBBzZ06FDbeOON7d5773WfDRrE/5/SggUL7PHHH7cRI0bY7Nmz7aqrrspTjuwIIIAAAggggAACCJS3wKmnnmpPP/20nXjiiXbAAQe4XlIaz77c07x58+zRRx+1Sy65xObOnWuXXnppuReJ+0cAAQRSBOIftUkpLisIVF/g7LPPdkHPUaNGWdOmTat/wjI5w4Ybbmjbb7+9devWza688ko75JBDbKuttiqTu+c2EUAAAQQQQAABBBConsDYsWPtqaeeshtuuMGGDRtWvZOV2NGq6++4447WpUsX18L1d7/7nW266aYldpfcDgIIIFC4QPm/qiq87ByJQN4Cn3/+uU2ZMsV1DUlS8DMMdcopp1jbtm3dm+/wdpYRQAABBBBAAAEEEIizgFp+brDBBrELfoaf2RlnnGEtWrSwZ555JryZZQQQQKDsBQiAlv0jpAC1KTB9+nR3uSS/DW3YsKH17NnTTf5Um/ZcCwEEEEAAAQQQQACBuhTQd4FevXrV5S3U+LU1CZJag2qiVxICCCAQJwECoHF6mpSlxgX82d7r169f49cq5QtozFPfopTvk3tDAAEEEEAAAQQQQKBYAqr/xmG8z2we+q5DXT+bEvsRQKDcBAiAltsT434RQAABBBBAAAEEEEAAAQQQQAABBBBAIGcBJkHKmYqMCBRfYObMmTZx4kTr0KGDbbbZZqYuJ4WmXM71448/5nT6Ro0aWfPmzXPKSyYEEEAAAQQQQAABBBCoLJBL/bzyUem3fP/99zZ58mTr1KmTbbLJJlknY501a5Z9/fXXtmjRIuvevbvr1l6d7xrp74qtCCCAQPkIEAAtn2fFncZIQOMHHXPMMfbJJ58EpdLYmiNGjLDjjz8+2JbLQq7nWr58uZu9PpdzHnjggXbnnXfmkrVaedq0aWO//vprIroSVQuKgxFAAAEEEEAAAQTKRiDX+nkuBXrxxRftrLPOsnnz5gXZmzRpYhdddJGdeOKJlerRuvaFF15oL7zwQpBfCx07drTLL7/cDjrooJTtrCCAAAJJESAAmpQnTTlLRkCtMAcOHGgLFy5MuaeVK1faBRdcYL/88our5KTszLBSzHNluESNbt5hhx1q9PycHAEEEEAAAQQQQACB2hQoZv380UcftTPPPNMqKipSiqCGDZdccokp2HnVVVcF+5YtW2aHHnqoffHFF8E2f2HOnDk2fPhwa9asme27777+Zj4RQACBxAgwBmhiHjUFLRWB++67Lwh+brzxxnbXXXfZySefHNzebbfdZkuWLAnWq1rI51wasF3dZTL9hK+z++67h1dZRgABBBBAAAEEEEAAgRwE8qmfV3U6BT2vv/76IPiplpsPPfSQDRs2LDhM3yO+/PLLYP3f//53EPxs3769O37kyJG2//77B3nUCpSEAAIIJFGAFqBJfOqUuc4EVqxYYffcc09w/Wuvvdb69etnQ4cOtffee88++ugj++mnn+zxxx+34447LsiXbiHfc2lcz7feeivdqUxvl8844wy3T2+GDzvssLT52IgAAggggAACCCCAAALpBfKtn6c/y/9u/eCDD0zjfipttNFGdvvtt1u9evVs0KBB9vrrrwf7xo8fbz179nT5wsNrHX300XbkkUe67ZprQF3pNfSUxgVdvHixtWjRwu3jPwgggEBSBGgBmpQnTTlLQmDKlCk2d+5cdy+aZEjBTz8NGTLEX7TXXnstWM60UKxz/fDDD3bxxRe7y6hFqrrTkBBAAAEEEEAAAQQQQCA/gWLVz3XV7bff3qZNm2bPP/+8G5tfwU+lNWvW2KpVq9yy/qMJjvy03nrr+YspAU7NNdCgwf+2fWrXrp3rBh9kZAEBBBBIiAAB0IQ8aIpZGgKzZ88ObqRbt27BshbWX3/9YD2cL9gYWQjnqc65NKi6xh1VUjcbtRQlIYAAAggggAACCCCAQH4Cxaqf+1dVK83tttvOevfu7TZpVnn1IFMDBiVNbKRAqZ/22msvf9EefPBBe//9923+/Pl2zTXXBENsKY+GxiIhgAACSROgC3zSnjjlrVMBDT7uJ7UADafwejhfOE94OZwnfKzyhNfD+cLHa3ncuHH26quvus39+/e3HXfcMZqFdQQQQAABBBBAAAEEEMhBIFzvDtfHdWh4PZwvh9O6LM8995wdc8wxQXZ1i3/sscesfv36wbYtt9zSHn74YTe/gLq677fffsE+Leyzzz72l7/8JWUbKwgggEBSBHj1k5QnTTlLQiD8Vrhx48Yp9xReVzd5dW+pKhXjXLfccktwiaOOOipYZgEBBBBAAAEEEEAAAQTyEyhG/TzTFb/66quUXWq80KFDh5RtWtl1111dq9HoDrX61Dj/jP0ZlWEdAQSSIkAL0KQ8acpZawJPP/20fffdd5Wut8cee7iByyvt+L8NmunRTxrjxx/nx98W/axqfy7nmjp1qr388svutKo87bvvvtFLsI4AAggggAACCCCAAAI5ClS3fl7VZbp27WoXXHCBvf322/bGG2+4iVU1sZFmgu/bt687VF3jjzjiCPvss8/cusYE7dOnj5sAaeXKlaYGD6effjpj/lcFzT4EEIitAAHQ2D5aClZXAppRfezYsZUu36pVKzdOj79Ds0SG0/Lly4NVjedTVQVKGZXHT4WcS91j/HT44YcHA6P72/hEAAEEEEAAAQQQQACB3AWqWz+v6koHHXSQ2/2nP/3JRowYYf/4xz9sxowZpvU333zT7bvpppuC4Kdmgb/66qtdHV8tUzVW6LJly+zmm292QdINNtigqsuxDwEEEIidAF3gY/dIKVApC7Rv3z64PX/iIX/D4sWL/cWU4GawMbJQ3XP5rT8VaB02bFjk7KwigAACCCCAAAIIIIBAPgLVrZ/nei0/GKr86tU1b948d+jrr78enELjhfozv3fq1MmN/+nvHDNmjL/IJwIIIJAYAVqAJuZRU9DaEujXr5+1adOm0uX0lrVly5bB9u+//97UVd1v6Tlt2rRgnyop2VJ4zJ98z/XNN9+YfpQ23XTTlBnos12X/QgggAACCCCAAAIIIFBZoDr18+jZPvzwQzdh6fTp013rzYMPPjjIsnr16mBZC1pXjzBNfOSnRo0a+Yvus3Xr1sF6OF+wkQUEEEAg5gIEQGP+gCle7QucccYZGS+qsXdUMdIkR0uWLLHnn3/efvOb37hAqGZ29NPee+/tL7p8CxcudOuaKMmvWPXu3Tvvc/knfe211/xF69GjR7Bc2wsaw0hd/zV75e67717bl+d6CCCAAAIIIIAAAggUTaCQ+rm+E6Sr60+cONF1ddfNaazPAw44IGjR+cwzzwT3rFanfuMJzQzvT5Y0cuRIO+uss1w+NbrQ9w4/9erVy1/kEwEEEEiMAAHQxDxqCloKAg0bNjSNx3Pttde627n44otNg5V/8skn7kcbVYkJv+EdNWqUnXrqqS7/TjvtZM8++6xbLuRc7kDvP37rT63XZQBU3f79AKh/b3wigAACCCCAAAIIIFCOAoXUzzPV9QcNGuQmK9K4nfq+oAlLDznkEDcJ0ujRowMefbfw04ABA4IA6N///nfT2J877LCDPfjggzZnzhyXrUmTJjQ88MH4RACBRAkQAE3U46awpSCgSsq///1vU5d3dWnRbI7hpIHM1dIzl1TouWbOnBmcvi4DoMFNsIAAAggggAACCCCAQAwECq2fR4uuVp033nijDR8+3O2aMGGC6SecdtxxRzcJkr9NjSveffdd17Bi6dKldu+997off78+L7zwQuvevXt4E8sIIIBAIgSYBCkRj5lClpKAWni+9NJLpre6/sDkur+2bdvaHXfcYccff3zOt1vouQiA5kxMRgQQQAABBBBAAAEEchYotH6e7gKa7OiJJ56wTTbZJGV38+bNXSOKp556KuX7hFp3/utf/7KTTjrJomOAdu7c2e6//347+eSTU87FCgIIIJAUAVqAJuVJU86SEtAkSQ8//LDr/j158mRr165dxomI1NVFP5lSPufyz6EALAkBBBBAAAEEEEAAAQSKL5BP/TxbXb9///721ltvuZne1YNMAVa14PQnUo3e/dprr21XXnml6z7/7bff2vz5823DDTcMxgmN5mcdAQQQSIoAAdCkPGnKWVQBDSRejKS3tNtss00xTmXFPFe2GypW+bNdh/0IIIAAAggggAACCJSrQDHr5wp86ifXpCG11HI02no0l+Op6+eiRB4EECg3AbrAl9sT437rVMDvsr5ixYo6vY+6vrjK71vU9b1wfQQQQAABBBBAAAEEakNA9d9ff/21Ni5Vp9dYuXIldf06fQJcHAEEakKAAGhNqHLO2Ar07NnTlW38+PGxLWO2gmnm9ilTpthGG22ULSv7EUAAAQQQQAABBBCIjYC+C3z66aemAGFc008//WRffPGF+d974lpOyoUAAskTIACavGdOiash0LVrV9t1113tr3/9q82aNasaZyrPQ9Ud5qKLLnKVvqrGJS3P0nHXCCCAAAIIIIAAAghkFjjssMNs7ty5dtVVV2XOVMZ71qxZY+eff76ttdZapgmYSAgggECcBBgDNE5Pk7LUisANN9xggwcPtt13392OPfZYN65O/fr1a+XadXURBT4XLFjgZpVU69frrrvOunXrVle3w3URQAABBBBAAAEEEKh1gd69e7sAoRpDqCXoAQccYG3btq31+yj2BVXXnzdvnj3++OM2YcIEu+mmm0yzxpMQQACBOAkQAI3T06QstSKgWRfHjBljI0aMsNtuu82WLl1aK9cthYtsvfXWrmI0YMCAUrgd7gEBBBBAAAEEEEAAgVoVOPvss91QUDfeeKNpOS5Js8prctYnnnjCNPM8CQEEEIibAAHQuD1RylMrAp06dXLBz9WrV9vChQtN3UXinlq2bGnNmjUrajEVTF61apXrZlPUE3MyBBBAAAEEEEAAAQRqSGDIkCGmH42Nv2TJkhq6Su2etlWrVta0adPavShXQwABBGpRgABoLWJzqfgJqOt7+/bt41ewWirRJptsUktX4jIIIIAAAggggAACCBRXoEWLFqYfEgIIIIBA6QswCVLpPyPuEAEEEEAAAQQQQAABBBBAAAEEEEAAAQQKFCAAWiAchyGAAAIIIIAAAggggAACCCCAAAIIIIBA6QsQAC39Z8QdIoAAAggggAACCCCAAAIIIIAAAggggECBAgRAC4TjMAQQQAABBBBAAAEEEEAAAQQQQAABBBAofQECoKX/jLhDBBBAAAEEEEAAAQQQQAABBBBAAAEEEChQgABogXAchgACCCCAAAIIIIAAAggggAACCCCAAAKlL0AAtPSfEXeIAAIIIIAAAggggAACCCCAAAIIIIAAAgUKEAAtEI7DEEAAAQQQQAABBBBAAAEEEEAAAQQQQKD0BQiAlv4z4g4RQAABBBBAAAEEEEAAAQQQQAABBBBAoECBBgUex2EIIIBAtQVWrFgRnKNRo0bBMgsIIIAAAggggAACCCCAAAIIIIBAsQQIgBZLkvMggEDeAmPHjrXly5db/fr1bfDgwXkfzwEIIIAAAggggAACCCCAAAIIIIBANgG6wGcTYj8CCCCAAAIIIIAAAggggAACCCCAAAIIlK0AAdCyfXTcOAIIIIAAAggggAACCCCAAAIIIIAAAghkEyAAmk2I/QgggAACCCCAAAIIIIAAAggggAACCCBQtgIEQMv20XHjCCCAAAIIIIAAAggggAACCCCAAAIIIJBNgABoNiH2I4AAAggggAACCCCAAAIIIIAAAggggEDZChAALdtHx40jgAACCCCAAAIIIIAAAggggAACCCCAQDYBAqDZhNiPAAIIIIAAAggggAACCCCAAAIIIIAAAmUrQAC0bB8dN44AAggggAACCCCAAAIIIIAAAggggAAC2QQIgGYTYj8CCCCAAAIIIIAAAggggAACCCCAAAIIlK0AAdCyfXTcOAIIIIAAAggggAACCCCAAAIIIIAAAghkE2iQLQP7EUAAgZoS6NOnj61Zs8bq1atXU5fgvAgggAACCCCAAAIIIIAAAgggkHABAqAJ/wWg+AjUpUCHDh3q8vJcGwEEEEAAAQQQQAABBBBAAAEEEiBAF/gEPGSKiAACCCCAAAIIIIAAAggggAACCCCAQFIFCIAm9clTbgQQQAABBBBAAAEEEEAAAQQQQAABBBIgQAA0AQ+ZIiKAAAIIIIAAAggggAACCCCAAAIIIJBUAQKgSX3ylBsBBBBAAAEEEEAAAQQQQAABBBBAAIEECBAATcBDpogIIIAAAggggAACCCCAAAIIIIAAAggkVYAAaFKfPOVGAAEEEEAAAQQQQAABBBBAAAEEEEAgAQIEQBPwkCkiAggggAACCCCAAAIIIIAAAggggAACSRUgAJrUJ0+5EUAAAQQQQAABBBBAAAEEEEAAAQQQSIAAAdAEPGSKiAACCCCAAAIIIIAAAggggAACCCCAQFIFGiS14JQbAQTqXmDu3Lm2evVqq1evnnXq1Knub4g7QAABBBBAAAEEEEAAAQQQQACB2AkQAI3dI6VACJSPwMcff2zLly///+zdB5xU5b3/8R8svffepDdBqoWmCCpqVK7GEnu/iVExJmpii15NDCY3pqgYicTo9VoIqKhgQUEsNJUSeu+9l92l/vN9/vdMzi4zszOzOztnZj7P67XumVOe8zzvA3ie3zzFcnJy7MILL0yfglNSBBBAAAEEEEAAAQQQQAABBBBIGwGGwKfNo6KgCCCAAAIIIIAAAggggAACCCCAAAIIIBCvAAHQeMU4HwEEEEAAAQQQQAABBBBAAAEEEEAAAQTSRoAAaNo8KgqKAAIIIIAAAggggAACCCCAAAIIIIAAAvEKEACNV4zzEUAAAQQQQAABBBBAAAEEEEAAAQQQQCBtBAiAps2joqAIIIAAAggggAACCCCAAAIIIIAAAgggEK8AAdB4xTgfAQQQQAABBBBAAAEEEEAAAQQQQAABBNJGoFzalJSCIoBA1grk5ubasWPH0r7+ZcqUscqVK5t+kxBAAAEEEEAAAQQQQCB4Avn5+XbkyJHgFSyBEqntUbYs/d4SoOOSDBQgAJqBD5UqIZAJAnrxmDRpkk2fPt3279+fCVVyddBLSK9eveyCCy6watWqZUy9qAgCCCCAAAIIIIAAAukqoM4W06ZNsylTptj27dvTtRonlLtcuXLWuXNnu+iii6xhw4YnHGcHAtkkQAA0m542dUUgTQQU/HzmmWds8+bNdvrpp1vLli0tJycn7XtOHj161DZs2GBfffWVLVq0yO655x6rWbNmmjwViokAAggggAACCCCAQGYKvPzyy/btt99ajx49bOjQoVa+fPm07zl5/Phx27Fjh3355Zc2cuRIu/POO61Vq1aZ+QCpFQIxCBAAjQGJUxBAoHQFJkyYYFu2bLERI0a44Gfp3j35d+vfv7/993//t7311lt2yy23JP+G3AEBBBBAAAEEEEAAAQTCCsycOdMFP6+55ho79dRTw56TzjsHDhxof/zjH01B3ocffjjtA7vp/Cwoe2oFmAwitf7cHYGsFhg8eLANGzbMzj333JCDhp/MmDHDBgwYkJHBT1W0fv36rs7z5s3LqOH9oYfIBgIIIIAAAggggAACaSKg0Vlt27bNyOCnHoGm4Lrsssvc0P6lS5emyVOhmAiUvAAB0JI3JUcEEIhRQENLKlSo4IaYeJfs3r3b8vLyrE2bNt6ujPzdunVr07CUbdu2ZWT9qBQCCCCAAAIIIIAAAukgoJFnmd72OOmkk9x0YqorCYFsFSAAmq1PnnojEFABb7V3zfmZyUkTkitlygqTmfysqBsCCCCAAAIIIIBA5gponv5Mb3toJXj9qK4kBLJVgABotj556o0AAggggAACCCCAAAIIIIAAAggggEAWCLAIUhY8ZKqIQCYLHD582K2svn//fmvWrJnVqlUr4eoWN6+VK1e6uXVUgFNOOcUN70+4MFyIAAIIIIAAAggggAACgRPYtWuXa39Ur17dmjRpUmA6r1gLe+jQIVPbI1JSj9RKlSpFOmzLly+3nTt3up6rvXr1ingeBxBA4N8CBED/bcEWAgikmcBnn31m77zzToGhHC1btrSbb77ZateuHVdtipuX5vJ89tlnTS8zSu3atSMAGtcT4GQEEEAAAQQQQAABBIIroIDj6NGjbd26daFCKlA5fPhwGzRoUGhfLBtvvvmmW/g10rlalOnuu+8Oe3jv3r32/PPPu3aH1lQgABqWiZ0InCDAEPgTSNiBAALpIDBx4kQbN25cgeCnyr1mzRobOXKkHTx4MOZqFDcvzVv66quvhoKfMd+YExFAAAEEEEAAAQQQQCDwAgcOHHBtDH/wU4XWnJpjx461Dz/8MK46bNiwIa7zvZPz8/PtpZdeot3hgfAbgTgECIDGgcWpCCAQDAH9j189Nr00ZMgQu+GGG6xhw4Zul4bDf/HFF97hqL9LIq/Jkyebhr+TEEAAAQQQQAABBBBAIPME1LZQEFSpUaNGru0xePDgUEU//fRTU7silqSg6aZNm9ypWpiofv36J/yEG822evVq+8Mf/mArVqyI5TacgwAChQQYAl8IhI8IIBB8ga+//tpyc3NdQTU85OKLL3bbmidn1KhRbnvq1Kl29tlnF7miY3Hz2rhxo33wwQfBR6OECCCAAAIIIIAAAgggELfAkSNHTG0LL11++eVuuisNPVcwUiPQNPpsxowZNnDgQO+0iL8V/PRWY2/Tpo3dddddEc/VAbV73nrrLZs1a1bU8ziIAALRBegBGt2HowggEECBJUuWhErVtWvX0HaXLl1C825qbhzvm9XQCWE2ipOXXlxeeeUV00tRlSpVQvcOcxt2IYAAAggggAACCCCAQBoKqE2xb98+V/IKFSq44KdXjR49enibtnjx4tB2tA3/8HctolRU0loDXvCzTJkydtpppxV1CccRQCCMAAHQMCjsQgCBYAvs2bMnVMB69eqFtrVRt27d0Gf/eaGdhTb858Sbl+YOXb9+vcvxsssus4oVKxbKnY8IIIAAAggggAACCCCQzgLFaS+Eq7fXftAxLaw0ZswYe/zxx91INvU01foC4ZKG3qu3qH/ofbjz2IcAAuEFGAIf3oW9CCBQCgLqfXn48GHT3DedO3eO+Y7+l5DCQUf/Z/95kTL3n+O/Vuf7P/vP0zHNwfPRRx9p07p162Z9+vSx8ePHu8/8BwEEEEAAAQQQQAABBDJDwN8O8LcPVDv/Z41AiyX5A6Dz588PXaKengsWLLA5c+bYbbfdZpUrV3bHqlevbj/84Q9D7aVYRrmFMmUDAQRCAvQADVGwgQACpS2gIKLmzYlnASF9I+oNQVF5y5Ur+D1O+fLlQ9Xwv6yEdvo2Es3r0KFDbtX348ePW9WqVe2KK67w5comAggggAACCCCAAAIIZIqAv03hb2uofv7PCoBG6r3pt/APga9WrZp1797d/CPRli9fbhMmTAhdogWR4uksErqQDQQQKCBQMHJQ4BAfEEAAgfQTUFDSS+pZWpwUKS+9kGzZssVlrUnQa9SoUZzbcC0CCCCAAAIIIIAAAggEVEDzbkZK/vaCzol2ro5r9NuZZ55p6u2ptsqll17q1hJQ4PSTTz4JBT616vzQoUMt3GrwyoeEAALxCxAAjd+MKxBAIIUCelHQMBBviIkWIPInvVR4qWbNmt5m2N+J5LVs2TKbMmWKy09D3/XjlcH/AqQFkrS/cA/VsAVhJwIIIIAAAggggAACCARSwN/ZwXvv9wpauO1RVABUPUbPP/987/LQb7VLzjjjDHvvvfdMbQr9qKcoAdAQERsIFFuAAGixCckAAQRKW8AfAM3Lyytw+/z8/NBn/8tKaGehjXjz0pw8Xpo3b57dc8893scCvx977DH3+ZFHHrH69esXOMYHBBBAAAEEEEAAAQQQSA8BtRe8lJub62263/G2PQpcXOiDhsM3bdo0tMjqjh07Cp3BRwQQKI5A8caHFufOXIsAAggkKOAPbPpfDDR0ZPv27aFci+oBqhNLMq/QjdlAAAEEEEAAAQQQQACBjBAo3F7wj/rSUHYvxdL20HyiWujoyy+/tJkzZ3qXhn77A6qx5Be6kA0EEChSgB6gRRJxAgIIBE2gS5cutmjRIlesWbNm2eDBg918O3qZ8Ial1K1b1xo3bhwqul4mDhw44D5rWLr3IhNvXg0bNrSOHTuG8vVvaHi8hr4rtW3b1g1/r1Chgv8UthFAAAEEEEAAAQQQQCCNBJo3b+6m4NJCrFoMVaPAtHCRAqH+0WFdu3YN1SpS22Pjxo02atQod56GvavNUKdOHfdZQ969gKqG0rdo0SKUHxsIIFB8AQKgxTckBwQQKGWBU0891c2Po+HvelF47bXXrFmzZjZ58uRQSc781+Tieqnw0ty5c+2VV15xH9u0aWMjRoxw2/HmNXDgQNNPuPSLX/witEL9ddddx5w94ZDYhwACCCCAAAIIIIBAGgnk5OTYgAED7IMPPnClHjdunO3evdvWrVvnfrRTw+R79+4dqlWktke7du1MQ93379/vVox//vnnTe0W9QydOnVq6Po+ffqEAqOhnWwggECxBAiAFouPixFAIBUClSpVsmHDhtn48ePd7adPn16gGPoW9fTTTy+wL9KHkswr0j3YjwACCCCAAAIIIIAAAukr0L9/fzdkXdNt7dy508aOHVugMueee65pgaOikkai3XjjjfbnP//Z9SDdvHmzvf766wUua9WqlQ0fPrzAPj4ggEDxBf7dPar4eZEDAgggUGoCGvaulwf/pOQaKtK5c2e77777rGLFijGXpSTzivmmnIgAAggggAACCCCAAAJpIaA2x89+9jPTMHf/KLMqVarY9ddfb4MGDYq5Hu3bt3ej0RTo9CflpU4cd911l+sl6j/GNgIIFF+AHqDFNyQHBBBIkUDPnj1NP/oWdu/evdakSROLNOdm3759TT+RUjx5RcrjV7/6VaRD7EcAAQQQQAABBBBAAIE0FlCA8vbbb7fDhw+7abgUFNW6A+FSUW2P1q1b27333uvWKNC8n8q7fv36bl2DcPn592mdgz/96U/+XWwjgEAMAgRAY0DiFAQQSI6A5r/RUBHNq1OcpCHv3uThxclH15ZkXsUtC9cjgAACCCCAAAIIIIBAsATUfincezPRElatWtX0Q0IAgeQLEABNvjF3QACBCAL9+vWLcMTcpOARD2bAgWPHjrla+IfQZEC1qAICCCCAAAIIIIAAAmkloGm0vHfztCp4nIXVqvWqKwmBbBVgDtBsffLUG4GACtSsWdPNq6MJwTM5bdq0yVWvdu3amVxN6oYAAggggAACCCCAQKAF9D6+ZcuWQJexuIVT/RTkpe1RXEmuT2cBAqDp/PQoOwIZKKAhJSeffLJNmTLF9u3bl4E1NMvPz7ePPvrIWrZsWWJD9zMSikohgAACCCCAAAIIIJBkAa0FMHfuXFu7dm2S75Sa7NXz87333rPKlStbp06dUlMI7opAAAQYAh+Ah0AREECgoMAll1xiTz/9tP3ud7+z888/382xU9x5QgveITWf9K3rhg0bbOLEibZjxw675557UlMQ7ooAAggggAACCCCAAAJO4Mwzz7Rvv/3WLSw0bNgwFySMtLBqOpEp8Kk2x6effmoLFy60a6+91ipWrJhOVaCsCJSoQJl//aU4XqI5klmpCGzfvt0+/PBDO++88yKuPFcqBeEmCCRJYOvWrfbaa6/ZihUrknSH1GXbtGlTu+qqq1wP0NSVgjsjgAACCCRbYN26dfb555/b8OHD3Qq/yb4f+SOAAAIIJCZw4MABe+utt1wgNNNCJLVq1bL/+I//sB49eiSGw1UIZIgAPUAz5EFSDQQyTaBBgwY2YsQIU7BfwdBMmJhck47XrVvXGjVqlGmPi/oggAACCCCAAAIIIJC2AlqJ/YYbbrBLL73Ujdg6cuRI2tbFK7jaHtWrV7dmzZq5NRa8/fxGIFsFCIBm65On3gikiUC9evVMPyQEEEAAAQQQQAABBBBAIJkCChh27NgxmbcgbwQQSJEAiyClCJ7bIoAAAggggAACCCCAAAIIIIAAAggggEDyBQiAJt+YOyCAAAIIIIAAAggggAACCCCAAAIIIIBAigQIgKYIntsigAACCCCAAAIIIIAAAggggAACCCCAQPIFCIAm35g7IIAAAggggAACCCCAAAIIIIAAAggggECKBFgEKUXw3BYBBMymT59u+fn5lpOTY/3794cEAQQQQAABBBBAAAEEEEAAAQQQKHEBAqAlTkqGCCAQq8CePXssLy/PBUBjvYbzEEAAAQQQQAABBBBAAAEEEEAAgXgEGAIfjxbnIoAAAggggAACCCCAAAIIIIAAAggggEBaCRAATavHRWERQAABBBBAAAEEEEAAAQQQQAABBBBAIB4BhsDHo8W5CCAQk8C8efNs1qxZRZ67ZcsWO3r0qJUpU8a0TYpPoFOnTnbGGWfEdxFnI4AAAggggAACCCCQJQJ//etfs6SmJVfNU045xXr16lVyGZITAgERIAAakAdBMRDIJAEFM+fMmRNXlQiAxsXlTq5evXr8F3EFAggggAACCCCAAAJZIhBvmyRLWKJWs0GDBgRAowpxMF0FCICm65Oj3AggUCICZcuWtQoVKli5cuVcb1StSn/s2LESyZtMEEAAAQQQQAABBBBAAAFPQCPf1PYoX768a3McOnTIjhw54h3mNwIIJFGAAGgScckagUwU0Krtr732WtSqqTfn8ePHo56T6oPqPVm/fn3Tb72IeEnlPnDggG3fvt12797t7Q7k70WLFtlLL70UtWwXXXSR1atXL+o5HEQAAQQQQAABBBBAIB0F9D789ddfRyx6UNoklSpVsoYNG1qNGjUsJyenQHlzc3Nt586drv0RhPLOnTvXtm3bVqCM3gcFb6+55hrvI78RSCsBAqBp9bgoLAKpF9CcnQoORksKIPqDitHOLe1j6vHZsmVL9/Khe1esWNE0zEMvJer9qf/Zq+zVqlVzgdDVq1cH9ltZBaOLehZ8o1zaf8K4HwIIIIAAAggggEBpCSh4GO19OAhtkiZNmrgOCSqLgp8KhFapUsW1MXbt2uWomjZt6jpnqO2hOqUyRTNVm4mEQLoKEABN1ydHuRFAIG4BvXC0bdvWBTv17Wvfvn2tRYsWpqCol/St68aNG23mzJluV/v27W358uWm4SkkBBBAAAEEEEAAAQQQQCBWgVatWlnNmjVdp4uePXtahw4d3NRb/uvV+3P27Nm2du1a11ZZtWqV7d+/338K2wggUAICBEBLAJEsEEgXgcOHD9v48eOLVVzl4X1TGSkjnRPEpJ6f+tayWbNmNnjwYDf/TuFy6ptZfQOroePTpk1zwU+9uCxbtixww/rVY7WoZzFp0iT3DXPhesbz+bzzzgv1mI3nOs5FAAEEEEAAAQQQQKAoAc2/P3bs2KJOC3tco7eKeh8Oe2Ep7GzcuLELfioAqvfpSAuY1qlTx8455xybN2+e64ShtsfSpUtT1gFDo8wirYmgdRPefPPNhPQU/O3evXtC13IRAiUhQAC0JBTJA4E0EVBwL9L/zGKtQizz0sRyTqz3K6nzatWq5V469IIxZMiQE755LXwf9RYdOHCgHTx40PUI1TyakebCKXxtkD7reZfGMw9SnSkLAggggAACCCCAQHoJJPq+GsR2h+Q1zZbWG9CcmdGCn/6n1K1bNzf8ff78+abg6Zo1a/yHA7Et70x7VoGApRClIvDvcZ+lcjtuggACCKRGQPN8Kp1++ulFBj+9EmpofL9+/dycoN713jF+I4AAAggggAACCCCAAALhBNR2UOeTHj16ROz5Ge66Xr16udFb6ryh4CkJAQRKToAAaMlZkhMCCARUQC8PlStXNr1I6NvUeJKGrGhIvIZ7VK1aNZ5LORcBBBBAAAEEEEAAAQSyUEDrDagzhYZ9x5PU5tAaBEpqh5AQQKDkBAiAlpwlOSGAQEAFFPxU0gqMiSTvOi+fRPLgGgQQQAABBBBAAAEEEMh8gfLly7vOE5pCK5FenLQ9Mv/PCDVMjQAB0NS4c1cEEChFAX2TqlSlSpWE7uoFPr18EsqEixBAAAEEEEAAAQQQQCDjBRQAVUq07eFdR9sj4/+oUMFSFiAAWsrg3A4BBEpfwJuoO9HV6b3rvHxKvwbcEQEEEEAAAQQQQAABBNJB4OjRo66YXhsi3jJ719H2iFeO8xGILkAANLoPRxFAIAMEDh065Gqxc+fOhGqza9cud52XT0KZcBECCCCAAAIIIIAAAghkvIACmFotXW2IRFap99ostD0y/o8KFSxlAQKgpQzO7RBAoPQFDhw4YPomdsOGDZaXlxdXAXTd6tWr3cvLvn374rqWkxFAAAEEEEAAAQQQQCC7BNRzU+2PgwcP2pYtW+Ku/MqVK901e/fujftaLkAAgcgCBEAj23AEAQQySEDfwOpl5LvvvourVgsWLLDc3FzTC4g3nCWuDDgZAQQQQAABBBBAAAEEskrA68U5a9asuHqBbty40XXaUO/P/fv3Z5UZlUUg2QIEQJMtTP4IIBAIAX37qgCmAporVqyIqUx6AZk9e7Z7adm0aVNM13ASAggggAACCCCAAAIIZLeAOl+oE4XaIDNnzowJQ6PNPvvsM3cubY+YyDgJgbgE/v/SyHFdwskIIJCuAmXLlrU+ffoUq/gaQr5q1aoi8wjanDVHjhyxNWvW2EknneReLNSjs1u3bpaTk3NCXTRXz+LFi+3rr792vUbXr19v+fn5J5yX6h1aGdJbJTJSWU4++WSrU6dOpMMx7a9cuXJM53ESAggggAACCCCAAALxChSnjbJ06VI32TtnbQAAQABJREFU12ake6ayF6XaHu3atbP58+e7abhOO+00q1ixYtiiqr0xZcoUd96OHTts9+7dYc8rjZ1axT5SG6NChQoJtydr1apVGsXnHghEFCAAGpGGAwhknoBeLtq0aVOsimk+m0j/4/YyDmKwUGXTt6p6EWnRooV98803tmTJEmvbtq01bNjQFORTcHf79u22fPly99KhQKjmDfWGsHj1C8pvBW+LehbNmze3Ro0aBaXIlAMBBBBAAAEEEEAAgRMEEm2j7Nmzp8j34RNuVko71CbSyDN1wFi2bJlrh6jt0aRJE6tatappsSQFOjXn5+bNm12p1BZR+yOVKVobo1KlSsVuT6aybtw7uwUIgGb386f2CGSdgF6S9E2xXjyU5syZE9ZAgV4Ngdfk5SQEEEAAAQQQQAABBBBAIF4BDYNX20MdEjQqa+HChe6ncD4KlmrYu9oqJAQQSI4AAdDkuJIrAhkroJ6SV111VdT6zZgxw6ZOnRr1nFQe1AuGhvFrCEfNmjXdt8YaTq45QnVMw+PjXS0+FfXRkJqhQ4dGvXVxh79HzZyDCCCAAAIIIIAAAgikUKB9+/ZWv379iCUYOXJkxGOldUBTcWmIu3p51qhRw4080zBzLdCqacM0Sk2dL4KSOnfubAMHDgxbHI0oJCGQrgIEQNP1yVFuBFIkoP/paVh1tKT5M9Mh6YVj27Zt6VDUsGWsVq1akc8i7IXsRAABBBBAAAEEEEAgAwT0PqyfdEgKhAZ1ai2/n4K0RbX3/OezjUC6CBC+T5cnRTkRQAABBBBAAAEEEEAAAQQQQAABBBBAIG4BeoDGTcYFCCBQlMCgQYPs1FNPLeq00EqHmmi7qKHcRWaWhSdoCD8JAQQQQAABBBBAAAEEwgs8+eST4Q+wN6JAUYusRryQAwgEXIAAaMAfEMVDIB0FFJiLJTin/7lqpXUFQDXUgoQAAggggAACCCCAAAIIlJQAbYySkiQfBNJfgCHw6f8MqQECCCCAAAIIIIAAAggggAACCCCAAAIIRBAgABoBht0IIIAAAggggAACCCCAAAIIIIAAAgggkP4CBEDT/xlSAwQQQAABBBBAAAEEEEAAAQQQQAABBBCIIEAANAIMuxFAAAEEEEAAAQQQQAABBBBAAAEEEEAg/QUIgKb/M6QGCCCAAAIIIIAAAggggAACCCCAAAIIIBBBgFXgI8CwGwEEki/QrVs3O3r0qJUpUyb5N+MOCCCAAAIIIIAAAggggAACCCCQlQIEQLPysVNpBIIh0Lhx42AUhFIggAACCCCAAAIIIIAAAggggEDGCjAEPmMfLRVDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQKg/BlAAAEEEEAAAQQQQAABBBBAAAEEEEAAgYwVIACasY+WiiGAAAIIIIAAAggggAACCCCAAAIIIIAAAVD+DCCAAAIIIIAAAggggAACCCCAAAIIIIBAxgoQAM3YR0vFEEAAAQQQQAABBBBAAAEEEEAAAQQQQIBV4PkzgAACcQkcPXrUHn744biuSdXJbdq0sZtvvjlVt+e+CCCAAAIIIIAAAghktMDq1avtL3/5S6DrWKVKFXvooYcCXUYKhwACyRcgAJp8Y+6AQEYJHDlyxF588cW0qFP//v0JgKbFk6KQCCCAAAIIIIAAAukosGnTpsC3DWrVqkUANB3/cFFmBEpYgABoCYOSHQIIxCdQpkwZq1atmlWqVMkOHDhgBw8ejC8DzkYAAQQQQAABBBBAAIG0F1C7oHr16laxYkXaBWn/NKkAAsETCFwAND8/3/2DFzwqSoRAdgrs2rXLfvOb34QqryHwJZE6dOhgffr0sfbt21v58uVDWe7du9cWLlxoX375pW3fvj20P5GNlStX2gMPPBC6tEGDBvaTn/wk9JkNBBBAAAEEEEAAAQQQiF1g8+bN9swzz4Qu0OfiJrUL+vbta+3atUtKuyA3N7dAm6B27dp2//33F7fYXI8AAmkmkPIA6PHjx23cuHE2a9YsW758uW3ZssVq1qxpmrtP/wBeeeWVVq9evTRjpbgIZI6AvpSYPXt2qEL6O1ucpN6eV1xxhbVt29ZlU65cOdNLSIUKFUwvJ0qnnXaaewn64osvbNKkSZboPRVM9Ze9RYsWLn/+gwACCCCAAAIIIIAAAvELaLSW//1aI7gSTWoXqL2vtr+Sv13gjQrz2gXTpk2zDz/8MKF2gabw8pe5UaNGiRaZ6xBAII0FUhoA1T+WTzzxhCnIoVS2bFkXCNH+b7/91v188skn9uSTT1qXLl3SmJmiI4CABOrUqWO33nqraR4e/fTq1csUlMzJyQkB5eXl2ZIlS2zOnDk2cOBAU6/NV155xY4dOxY6hw0EEEAAAQQQQAABBBBIXwG1C2677TbX+Untgt69e1vz5s1PaBcsXrzY5s6da4MGDXLtgldffZV2Qfo+dkqOQEoFUhoAfeqpp1zws1WrVnbXXXdZz549Q//grVmzxkaPHm1TpkyxH//4x/byyy+7QElKtbg5AhkooF7X+rsWKekLCf/QlkR7Y2qY+3XXXecCn/qWV8FNf+DTu7/mAu3evbu1bt3afcvbsWNHu/DCC+3dd9/1Ton596FDhwqUXd8k6wuVSKlq1ao2YsSISIfZjwACCCCAAAIIIIBAxgv89re/NY0CC5d2795d4P368OHD4U6Luk8jv9Qu0MhPjQobMGBAxHbBKaecEmoXdOrUyS644AKbMGFC1PwLH1T7xd+e2bdvX9Q2Qbdu3ex73/te4Wz4jAACaS6QsgCo/kGdPn26aaJj/QPbsGHDApQtW7a0xx57zO6++27XE2zq1Kl27bXXFjiHDwggUHwBzem5c+fOiBkpaKhhI15KNACqgKf+njdt2tR9g6se39GSJkA/77zz7O2337bTTz/dvvvuO1u3bl20S044prL6y66AaLS6ltT8picUhB0IIIAAAggggAACCKSJgNYA0KiscElTTPnfr/3b4c4Pt0+9OdUuaNasmWsXKCYQLdWoUcOGDRtm48ePd+0CjRbdsGFDtEsKHIu3TVCcYf0FbswHBBAIlED0CEQSi7p06VL3j6qCHJHm+FSARN/wKM2YMaNAaVatWmX6CTcsVsFVHSscLFm9erWtXbvW5aN/BHXOBx984BZcKRz4UK84zT342WefuXlJC9y80Act1PLNN9+4Hmrqsaq5TCN9E6Z7emXYtGmTu8fGjRsL5chHBDJLQPP5KACqv9P9+/d3v2OpoeYF0kJJSmeddVYsl3AOAggggAACCCCAAAIIBFRAo8K89oB+FxX89KrhtQt0/uDBg73d/EYAAQRiFkhZD1ANb9XwV32D9Pnnn0cMbgwZMsTOPPNM07BYf1KXeSUFMBVE9ScFOm+55RZr0qSJvfHGG6FDmmNEQ1yfffZZtxK0/1sjfav0/PPPu2+iHnnkEfvqq69C16mLvoboX3zxxaF92ti6datbHXvmzJkF9uuD7v3zn//c1GXfn2666SY3D6J6tj788MOhAO4dd9zhJoD2n8s2ApkioAXN9Peo1b+muyj897WoOupafQHi5aFenCQEEEAAAQQQQAABBBBIP4H27duH2gUKasaTdK3aBfqtQGqkTkfx5Mm5CCCQPQIpC4AqEKkV3b788ks31F3D4dXDSwFDf7BTPcf0U1JJ3dl/9KMfWeXKld2QegVhNYfIjh077MEHH3TByZUrV9qNN97o5ipUcFa9O//whz+4VakbN27siqJ5Q2644QbTb5W5b9++bmivuuMreKpenQ899JD94x//sIoVKxYovla6/s1vfuP+4VdQRwu+yIKEQKYKaHiLkoa/x5vUa1RfKOiLDa3Y6PWgjjcfzkcAAQQQQAABBBBAAIHUCnjtAe93PKVRu0DtcbUH1C4oPOIznrw4FwEEsk+g5CKLCdhpjk/9TJs2zfXkVG9OfZOjFd979OjhgoKdO3dOIOfIlyj46PX21GpzSprg+NJLL3UBFg1n18pydevWdccuuugi15t0xYoVblV6b0j++++/74Kf6sn6zDPPhCZtVnd8zTF4ySWX2J49e9w3VBr6608KmuofbPVO1bdeGrJfOEjqnT958mTTRNOFU7ih/4XP4TMCQRHwen3qi49Eknedl08ieXANAggggAACCCCAAAIIpFZAbXGleHt/eqX2rqNd4InwGwEEYhVIaQBUQb8nnnjCPvroI5s4caLNmzfPdWOfM2eOW/hozJgxbsW3xx9/3LQoUkklbyVqL78GDRq4b5I0J6dWm/aCnzqu3qdahVoBUP/KcVqt7tZbb7VevXqFgp9efnXq1LGuXbva/PnzXZDU2+//fc0114T+0Y8U/NT56jnnL4+Xhxam0XyiJATSQcCbHL3wXLuxlt27jmEusYpxHgIIIIAAAggggAACwRPw3ue99kG8JfSu8/KJ93rORwCB7BVIaQBU7OrGrpWe9aPemQp+ahj5rFmzXNBRw9EVaNS8nJokuSSShtMWTgo0KgDavHnzwofcsHjt9M892Lt3b9OPlxSg0fXqjr9gwQI3BF7HvMCNd573u0WLFt5m1N8dOnQIe1w9VQmAhqVhZwAFvF7MWlEykS8zdJ2SelWTEEAAAQQQQAABBBBAID0FvPd5tQ8SaRd47Qrvd3oqUGoEEEiFQMoDoP5Ka17O008/3f1o/6JFi+ypp54yBUFHjhxp/fr1i3mVOH++hbe9eTz9+73V57wu9eGOeed4x9Qj9M0333RzhCrw6X0bpeOaWzRaCheEjXY+xxBIZ4Fly5bZsGHD3DQThRcGK6pe6u28ZcsWt2CafpMQQAABBBBAAAEEEEAgPQXULjj33HNdu6B79+5xVULreWghYgVRt23bFte1nIwAAgikLAD67rvvuiHl559/vhvmHe5RdOrUya3Yrnk41QNMiwVpOHpRqaju8FqNunA6fvx44V0nfPafo7Lceeedrteqhsmrp6bK1qZNG+vZs6f96U9/cgs8nZDJ/+0IV4ZI57IfgXQXUO9obwqJNWvWxPVtr3qEK6l3OAkBBBBAAAEEEEAAAQTSV2DDhg2uc4NqoE5EsY6M1Pleu+C7777TRxICCCAQl0DZuM4uwZPfeecde+WVV9zcn9GyVY9MLTSkpCCKlzR0Xsnf69I7phXYk51+9atfueDnkCFDbNKkSTZq1CgbMWKEW1BJK9p5ZWWxomQ/CfJPFwH9PVH6/PPPI86NW7gumnt38eLF7u/alClTCh/mMwIIIIAAAggggAACCKSZwIcffuhKHG+7QJ2QNG2eriMhgAAC8QqkrAeoekkuXbrULYA0fPhwq1evXtiyq+enuslrSLl/zk0FRvfu3et6htauXbvAtRoyn8yk+3r3uPnmm09YwV3/KK9bt84VIdIcoMksH3kjEI+AVlA855xzIl6iv4PffPNN6Lh6Qu/cuTP0OdYNvbB89dVXdsYZZ5i+ADn77LPd4mPhrtc9/vnPf9qMGTNM22+88YZ72Ql3brR9+nfDW2lS59WvXz9qXStVqhQtO44hgAACCCCAAAIIIJDxAnpPjzSqUqO65s6dGzLIy8tz7fLQjhg2NNXd119/7aa+08hQ3a9Ro0Zhr1SHIrULZs6cadp+/fXX424XaCo7f5tA8YNo7R91aCIhgEDmCaQsAHr55ZfbBx984IbFKoh4//33uxXV/SuiazEhrRKvf+j69OljCtR4SV3l9Q+hVor/r//6L2+3qTu85uVMZlIZFVhRcFPd8LWAkpfy8/PtgQceCP0Pw79wkncOvxEIkoD+XmkenkhJLzmjR48OHfZPBRHaGePGe++9Z5oyom/fvvb++++7Rcfatm3rFhrTtBD68kD3U69PTWyuHt7/+Mc/3PQXMd6iwGm6l/9lp2HDhlHrWuBiPiCAAAIIIIAAAgggkIUCgwcPjlhrdQTSSE4vFbX2hXde4d9eu0DtfG2rfa/p5OrWrWvly5d37QKNqlQnCq9dMHbsWNeJqnBeRX0uHABVp4ho7Z+i8uM4Agikp0DKAqD6R+fFF190gc/Vq1e73xrWrpXgqlSp4iZF1iTHSur5+dhjjxUQVq9RBUA1LPb66683Layi4bLapx5m6mmWrKQAqP6n8PHHH7s5SjU3Ybdu3dz9tXq9JmbWnKD6x5rJmZP1FMg3HQUUPB0/frytWrUq9NLh9ZYuXB+do5eh0pjSovC9+YwAAggggAACCCCAAALJE1Anp3HjxoXaBZoPVD/hkoKuahd408yFO4d9CCCAQFECKQuAqmBaCf2FF16w559/3ubPn+/+wVPQQ0nBUM39qZXfb7rpJtdrzB34v/+oy7p6hz377LNuOLr+UdQq8hdffLHdddddrhu9//yS3r733nvdN1MTJ050gVAFQ/XtV69evezpp592Q/PvuOMOmzZtmlssqfAK8iVdHvJDIFkCtWrVsgcffDCUvYbDXH311aHPiWzoSwP9nW/fvr37sqBOnTqm4ef79+93PUA1LCZSYDSe+7Vq1apA2atWrRrP5ZyLAAIIIIAAAggggAACPoEGDRoUeL/We/ujjz7qOyO+TY3gVLugXbt2blFhDU/3twsWLlxo69evjy/TQmcrTuBvzzDtVSEgPiKQJQJl/tUjq+jlz0sJQwFN/eOmnp/q/h7rP0xaSe7gwYMuYJpoF/xEq7hv3z7T/XVf9V4trdXdt2/fbpo8+rzzznPDBBItP9chEK+ApnnwT/sQ7/WleX7//v1dj9PSvCf3QgABBBBAwBPQl3larEMjlzTCiYQAAghkmoDm8rzooosCXS116NC6IiQEEMhugZT2AC1Mr/n61GMr3pTKSYo1f2LHjh3jLTLnI4AAAggggAACCCCAAAIIIIAAAggggEApCAQqAFoK9eUWCCBQTAH1cp48eXIxcymdy6tVq1Y6N+IuCCCAAAIIIIAAAghkoYDWwgh620AdrUgIIIAA/xLwZwABBOIS0Hy2etEhIYAAAggggAACCCCAQHYLaI592gbZ/WeA2iOQLgJl06WglBMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEIhXgABovGKcjwACCCCAAAIIIIAAAggggAACCCCAAAJpI8AQ+LR5VBQUgcwTWL58uR05csQ0rL5Dhw6ZV0FqhAACCCCAAAIIIIAAAggggAACKRcgAJryR0ABEMhegRUrVlheXp7l5OQQAM3ePwbUHAEEEEAAAQQQQAABBBBAAIGkCjAEPqm8ZI4AAggggAACCCCAAAIIIIAAAggggAACqRQgAJpKfe6NAAIIIIAAAggggAACCCCAAAIIIIAAAkkVIACaVF4yRwABBBBAAAEEEEAAAQQQQAABBBBAAIFUChAATaU+90YAAQQQQAABBBBAAAEEEEAAAQQQQACBpAqwCFJSeckcgfQVOH78uE2YMMH9bNy40Y4dO1bildmzZ4/LV6vAP/fccyWef+EMy5Ur5xZbuvbaa61bt26FD/MZAQQQQAABBBBAAAEECgmoXfDOO+/Y+++/b8lqF/hvqbZBspPaBR07djS1C04++eRk3478EUAgAAIEQAPwECgCAkETyM3NtRtvvNEmT55sXbp0sdatW1v58uWDVsy4y5Ofn28TJ060v/3tb/bII4/YnXfeGXceXIAAAggggAACCCCAQLYIHDx40G644Qb77LPPrGvXrnbSSSdlTLvggw8+cO2CRx991O64445seaTUE4GsFSAAmrWPnoojEFng4YcftmnTprkXggsuuCDyiWl45PDhw/bYY4/Z448/bu3bt7dzzz03DWtBkRFAAAEEEEAAAQQQSL7AQw89ZF999ZX9/e9/t2HDhiX/hqV4h0OHDtkvf/lL96N2wdChQ0vx7twKAQRKW4A5QEtbnPshEHCB7du32yuvvGL33nuvZVrwU/TqyfrEE09Ynz597Jlnngn406B4CCCAAAIIIIAAAgikRmDr1q32P//zP/bTn/4044KfEq1QoYI9+eST1qtXL/vDH/6QGmTuigACpSZAALTUqLkRAukh8N1337l5OS+66KL0KHCCpfze975n3377rR09ejTBHLgMAQQQQAABBBBAAIHMFfDaBRdffHHGVlLzjapdMHv2bNNcpyQEEMhcAQKgmftsqRkCCQkcOHDAXVezZs2Erk+Xi2rVquUCvXl5eelSZMqJAAIIIIAAAggggECpCWRTu0CdIrReAAkBBDJXgABo5j5baoZAQgKlsepiQgXjIgQQQAABBBBAAAEEEEAAAQQQQCABAQKgCaBxCQIIIIAAAggggAACCCCAAAIIIIAAAgikhwCrwKfHc6KUCARWQEPIFy5caNu2bbNu3bpZ48aNEy5rInlt2LDB/vnPf1qDBg2sc+fOVrFixYTvz4UIIIAAAggggAACCCCQmEAi7/Kx3GnmzJm2Zs0ad6oWaa1SpUqBy3Jzcy3atFZaBLVatWoFruEDAghknwAB0Ox75tQYgRITGDVqlD3++ON2+PDhUJ49e/a0l156yZo2bRraF8tGvHmtW7fObrzxRps7d24oe73cqDy33HJLaB8bCCCAAAIIIIAAAgggkFyBeN/lYy3NypUr7fvf/74dPHjQXTJnzpwTAqD333+//e///m/ELM844wx75513Ih7nAAIIZIcAQ+Cz4zlTSwRKXOC3v/2tPfzwwwWCn7qJVlYfMmSI7d69O+Z7xpvXrl273D38wU/dTIHYn//85/b73/8+5ntzIgIIIIAAAggggAACCCQuEO+7fKx3OnbsmN15552h4Gek6zQajIQAAggUJUAAtCghjiOAwAkC+/fvt+effz60/8c//rH95S9/sbZt27p927dvt5dffjl0PNpGInmNGTPGdu7c6bJt3769u/cPf/jD0G2ee+4581atDO1kAwEEEEAAAQQQQAABBEpUIJF3+VgL8Oyzz5qGv0dL6gCxePFid0q5cuWsdevWJ/w0adIkWhYcQwCBLBFgCHyWPGiqiUBJCrz22mu2d+9el6WGlDz66KNuu3r16nbVVVe57RdffNF+9KMfmYalR0vx5nXo0CH761//Gspy5MiR1q9fPxs+fLjNmDHD9UBV79PXX3/dbr755tB5bCCAAAIIIIAAAggggEDJCsT7Lh/r3RctWmRPPfVUkacvWbIkNCLt1FNPtbfffrvIazgBAQSyU4AeoNn53Kk1AsUSmDp1auj6c845J7Stoe9Vq1Z1n7ds2RL6NjZ0QpiNePPSy9DWrVtdTrqXgp9euvjii71NmzJlSmibDQQQQAABBBBAAAEEECh5gXjf5WMpgXp13nHHHaaOD7Vq1Qq1L8Jd6x/+3qVLl3CnsA8BBBBwAgRA+YOAAAJxCyi46aVWrVp5m+53ixYtQp83b94c2o60EW9e/jxbtmxZINt4713gYj4ggAACCCCAAAIIIIBAXALxvsvHkrnmFJ0/f7479de//vUJix758/AHQNeuXWu33nqrnXbaafaDH/zARo8ebZpHlIQAAghIgAAofw4QQCBuAX8Q0uvx6WXi/+x/IfKOF/4db17+PP33Ur7+z/7zCt+TzwgggAACCCCAAAIIIFB8gXjf5Yu6oxZUfeaZZ9xp559/vl122WVRL/ECpTpp0qRJbgj8ihUr7OOPP3aLo2qarH379kXNg4MIIJAdAgRAs+M5U0sESkzg6NGjtm3btlB+FStWDG1rw//Z/0JU4KT/+5BIXv48/fcqfG8Nk+cb33Dq7EMAAQQQQAABBBBAoPgCibzLR7trbm6uG/qud/g6derY008/He10d8zfA7Ru3bp24YUXmn+E2ldffWVPPPFEkflwAgIIZL4AAdDMf8bUEIESFShTpkzU/I4fPx46XrZs9H9iEskr2jX+e+u8aOeGCskGAggggAACCCCAAAIIxC1Q1Lu2/928qHaBbv7kk0/a8uXLXTl+85vfWIMGDaKWKT8/326//Xa79NJL7fLLL7fp06fbmDFj3MKoDz30UOha7duwYUPoMxsIIJCdAqwCn53PnVojkLCAXl7q169v3hBzTU7uT3l5eaGPjRo1Cm2H20gkr4YNG4ayinZvnVfUS1koIzYQQAABBBBAAAEEEEAgLoFE3uUj3eDLL7+0F154wR3W0Hf9eO/6/kCqFkjS/goVKriRZ/fdd98JWapc11xzjQuo6lr9qKdo06ZNTziXHQggkD0C0btnZY8DNUUAgTgEFAD1UuE5dfbv3+8dMn+wMrSz0Ea8ecV7fqHb8REBBBBAAAEEEEAAAQRKSKCk3s0nTJgQKtEHH3zggpUKWOpn+/btoWN9+vRx+1atWhXaF25Dw+FPPvnk0CEtkERCAIHsFqAHaHY/f2qPQEIC/uEoa9asCeWh+Xr8n4vqAaoL483Lf75eZPSNrtfT0/8iFMu9QwVnAwEEEEAAAQQQQAABBOIW8L+b+9sBibQL4r251gbQIkibNm2yypUr2/e///0CWfg7ZjRu3LjAMT4ggED2CdADNPueOTVGoNgCQ4cODeUxduxYF4TUDq22qLl4lFq0aGEdO3Z02/qPXkzWrVvnfvzD5OPNq1u3bqGg6YEDB2zixInuHgqEvvfee6H7nXPOOaFtNhBAAAEEEEAAAQQQQKDkBeJ9l1cJwrUL2rdvb2eddVbYn/Lly4cKfsYZZ7hzFPBctGiR/eAHP7B7773X7rzzTlu/fn3ovAULFtjKlSvdZw2J7969e+gYGwggkJ0C9ADNzudOrREolsCVV17p5tTRt6qaT2fEiBFuiMmzzz4byve2226znJyc0Ofvfe97od6h48ePt/79+7tj8ealF6AbbrjBRo4c6a7XBOcbN260uXPnuh/t1FCcyy67zB3nPwgggAACCCCAAAIIIJAcgXjf5VWKcO2Cm266yfQTLnXu3Nm2bdvmDj333HOhuTy1UryGuu/YscO0Ir3KojaIeoa++OKLoazUM7R58+ahz2wggEB2ChAAzc7nTq0RKJZAtWrV7Gc/+5k9+uijLp/XXnutQH56wbj66qsL7Iv0IZG8FAB96623TEPe1av05z//eYHsf/KTn7hJ0Qvs5AMCCCCAAAIIIIAAAgiUqEAi7/IlVQAthDR69Gi3CryG3C9ZssT1BvXn37t3b3vsscf8u9hGAIEsFWAIfJY+eKqNQHEFfvSjH7lvVv3z/mh4yZAhQ+yTTz4xvQzFmuLNSz08P/roIzv33HOtXLl/f49Tu3ZtGzVqlN1yyy2x3przEEAAAQQQQAABBBBAoBgC8b7LF+NWJ1yqUWVaQKlXr14FjtWqVcutBK+RZ+olSkIAAQT+HTnAAgEEEPiXgObSjDVdcsklph/Nt7Nlyxbr1KmTValSJezls2fPDrvf2xlPXrpGLzWvvvqqaT7RhQsXWr169dy8o15+/EYAAQQQQAABBBBAAIHSEYjnXb6odkHhEutdP1rq27evTZo0yXbt2uXm/VQ7oXXr1qGFUqNdyzEEEMgeAQKg2fOsqSkCMQl4K6prGEmsqVmzZqafkkjx5lWpUiXr2bNn3LeOJ9Abd+ZcgAACCCCAAAIIIIBAhgikql0QL59GgxXuCRpLHrQLYlHiHATSX4Ah8On/DKkBAiUqULNmTZefN9F4iWYeoMzUY1XzBkXqsRqgolIUBBBAAAEEEEAAAQRKXUA9KZWyoV2gThX6ISGAQOYKEADN3GdLzRBISEAThSso+MorryR0fTpcdOjQIXvjjTdswIABDI1JhwdGGRFAAAEEEEAAAQRKXaBPnz5WuXLljG4X5Ofn25tvvmkDBw4sdV9uiAACpStAALR0vbkbAoEX0OJFI0aMsJdeesmefvppN8dm4AsdRwE3bdpk119/va1Zs8YeeOCBOK7kVAQQQAABBBBAAAEEskegevXqdvfdd7uFT3/3u99lXLtg48aNdt1119m6devsvvvuy54HS00RyFIB5gDN0gdPtRGIJqAA6O7du23kyJH25z//2Zo3b25a4T3dkxZMUuCzatWqLsB7yimnpHuVKD8CCCCAAAIIIIAAAkkT+MlPfmJ79uyxp556yv74xz9mVLtg9erVpiDvmDFjrHv37kkzJGMEEAiGAAHQYDwHSoFAoAS0ENJjjz1mV199tb333nu2YcOGQJUv0cKUL1/eOnToYBdffLHVqVMn0Wy4DgEEEEAAAQQQQACBrBBQu+Dxxx8PtQvUazITktoFHTt2dO0CLZ5EQgCBzBcgAJr5z5gaIpCwQPv27U3f+pIQQAABBBBAAAEEEEAgewXUiUA/JAQQQCBdBdJ/TGu6ylNuBBBAAAEEEEAAAQQQQAABBBBAAAEEEEi6AAHQpBNzAwQQQAABBBBAAAEEEEAAAQQQQAABBBBIlQAB0FTJc18EEEAAAQQQQAABBBBAAAEEEEAAAQQQSLoAAdCkE3MDBBBAAAEEEEAAAQQQQAABBBBAAAEEEEiVAAHQVMlzXwQQQAABBBBAAAEEEEAAAQQQQAABBBBIugAB0KQTcwMEEEAAAQQQQAABBBBAAAEEEEAAAQQQSJUAAdBUyXNfBBBAAAEEEEAAAQQQQAABBBBAAAEEEEi6QLmk34EbIIAAAhEEPv74Y8vNzbWcnBy74IILIpzFbgQQQAABBBBAAAEEEEAAAQQQQCBxAXqAJm7HlQggUEyBY8eO2fHjx91PMbPicgQQQAABBBBAAAEEEEAAAQQQQCCsAAHQsCzsRAABBBBAAAEEEEAAAQQQQAABBBBAAIFMECAAmglPkToggAACCCCAAAIIIIAAAggggAACCCCAQFgBAqBhWdiJAAIIIIAAAggggAACCCCAAAIIIIAAApkgQAA0E54idUAAAQQQQAABBBBAAAEEEEAAAQQQQACBsAIEQMOysBMBBBBAAAEEEEAAAQQQQAABBBBAAAEEMkGAAGgmPEXqgAACCCCAAAIIIIAAAggggAACCCCAAAJhBQiAhmVhJwIIIIAAAggggAACCCCAAAIIIIAAAghkggAB0Ex4itQBAQQQQAABBBBAAAEEEEAAAQQQQAABBMIKEAANy8JOBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgEgXKZUAnqgAAC6SnQuXNnO3r0qJUpUyY9K0CpEUAAAQQQQAABBBBAAAEEEEAg8AIEQAP/iCggApkr0Lx588ytHDVDAAEEEEAAAQQQQAABBBBAAIFACDAEPhCPgUIggAACCCCAAAIIIIAAAggggAACCCCAQDIECIAmQ5U8EUAAAQQQQAABBBBAAAEEEEAAAQQQQCAQAgRAA/EYKAQCCCCAAAIIIIAAAggggAACCCCAAAIIJEOAAGgyVMkTAQQQQAABBBBAAAEEEEAAAQQQQAABBAIhQAA0EI+BQiCAAAIIIIAAAggggAACCCCAAAIIIIBAMgQIgCZDlTwRQAABBBBAAAEEEEAAAQQQQAABBBBAIBACBEAD8RgoBAIIIIAAAggggAACCCCAAAIIIIAAAggkQ4AAaDJUyRMBBBBAAAEEEEAAAQQQQAABBBBAAAEEAiFAADQQj4FCIIAAAggggAACCCCAAAIIIIAAAggggEAyBMolI1PyRAABBGIR2L17tx07dszKlCljtWvXjuUSzkEAAQQQQAABBBBAAAEEEEAAAQTiEiAAGhcXJyOAQEkKzJgxw/Ly8iwnJ8cuvPDCksyavBBAAAEEEEAAAQQQQAABBBBAAAEnwBB4/iAggAACCCCAAAIIIIAAAggggAACCCCAQMYKEADN2EdLxRBAAAEEEEAAAQQQQAABBBBAAAEEEECAACh/BhBAAAEEEEAAAQQQQAABBBBAAAEEEEAgYwUIgGbso6ViCCCAAAIIIIAAAggggAACCCCAAAIIIEAAlD8DCCCAAAIIIIAAAggggAACCCCAAAIIIJCxAgRAM/bRUjEEEEAAAQQQQAABBBBAAAEEEEAAAQQQIADKnwEEEEAAAQQQQAABBBBAAAEEEEAAAQQQyFgBAqAZ+2ipGAIIIIAAAggggAACCCCAAAIIIIAAAggQAOXPAAIIIIAAAggggAACCCCAAAIIIIAAAghkrAAB0Ix9tFQMAQQQQAABBBBAAAEEEEAAAQQQQAABBMpBgAACCKRKoF+/fnbs2DErU6ZM0ouwa9cumzt3rm3fvt2OHz+e9Psl+wZly5a1Bg0a2CmnnGLVq1dP9u3IHwEEEEAAAQQQQAABBJIgsGzZMlu6dKkdPHgwCbmXfpYVK1a01q1bW+fOnU1tFhICQREgABqUJ0E5EMhCgWrVqpVKradMmWJvv/22C3zWqlXLcnJySuW+ybyJAsc7d+509briiiusb9++ybwdeSOAAAIIIIAAAggggEAJCijg+dJLL9mSJUuscuXKVqVKlYwIGObm5trHH39szZo1s1tvvdXq1KlTgmpkhUDiAgRAE7fjSgQQSAOBmTNn2j/+8Q9Tb9OLLrrIvVikQbFjKuLevXtt7Nix9uqrr7peoJ06dYrpOk5CAAEEEEAAAQQQQACB1AqMHj3a1q1bZzfffLN169YtI4KfnqiCumqjPPfcc3b//fdb+fLlvUP8RiBlAvRHThk9N0YAgWQLaKj7hAkTrGvXrnbllVdmVPBTdjVq1LAbbrjBWrZsae+++26yOckfAQQQQAABBBBAAAEESkBg4cKFpqHv1113nZvSKtOGinfo0MFuv/1227p1q02fPr0ExMgCgeILEAAtviE5IIBAQAU2b95su3fvtv79+we0hMUvll6W1Lt1/fr1duDAgeJnSA4IIIAAAggggAACCCCQVIHFixe7zgwnn3xyUu+Tysw1BL5Vq1amupIQCIIAAdAgPAXKgAACSRHwJhKvWbNmUvIPSqZe/bz6BqVclAMBBBBAAAEEEEAAAQROFNB7u/cOf+LRzNmjOtJGyZznme41IQCa7k+Q8iOAAAL/J5AJq9vzMBFAAAEEEEAAAQQQyHSBbHlvL1OmjFuINtOfJ/VLDwECoOnxnCglAggggAACCCCAAAIIIIAAAggggAACCCQgwCrwCaBxCQIIZKbA4cOHbcOGDbZ//37TnDW1atVKuKKx5HXo0CHTebGkypUrZ9TKkLHUmXMQQAABBBBAAAEEEEDAbNeuXa6dUr16dWvSpElCq6oX1fbIycmxSpUqFeBO5JoCGfABgQAJEAAN0MOgKAggkDqBzz77zN555x07evRoqBBaXf3mm2+22rVrh/bFshFrXhMnTrRPPvkklizt4YcftgYNGsR0LichgAACCCCAAAIIIIBA+gvs3LnTRo8ebevWrQtVRoHK4cOH26BBg0L7Ytl48803bcaMGRFPbdu2rd19990FjidyTYEM+IBAgAQYAh+gh0FREEAgNQIKRI4bN65A8FMlWbNmjY0cOTKuibtLMq/UaHBXBBBAAAEEEEAAAQQQSLXAgQMHXFvEH/xUmdRhY+zYsfbhhx/GVUSNdIs3JXJNvPfgfARKS4AeoKUlzX0QQOAEgdWrV9uRI0dMk2O3adPmhOOlsSM/P9/UY9NLQ4YMccPfFcjcsmWLGw7/xRdf2DnnnOOdEvF3vHlpCEujRo3C5qdh+PpR0jnFGY4f9gbsRAABBBBAAAEEEEAAgcAKqA2iIKiS2gPnnXeerV271j799FO3T7/PPPNMq1ixovsc7T8Kmm7atMmdUrZsWatbt+4Jpxce9ZbINSdkyg4EAiRAADRAD4OiIJBtAkuWLLG8vDzTMI5UBUC//vpry83NdfQa9nHxxRe7bc1/M2rUKLc9depUO/vss105oz2jePMaPHiw6adw0rygTz31lAuAVqlSxW6//XarUKFC4dP4jAACCCCAAAIIIIAAAhkooE4iaoN46fLLL7d27dpZr169bMWKFW6k2sGDB92Q9oEDB3qnRfyt4Kc31ZfaXXfddVfEc70DiVzjXctvBIIowBD4ID4VyoQAAqUmoCCsl7p27eptWpcuXUJBx71794a+MQ2dEGajpPJ67733bOvWre4Ol156qdWrVy/M3diFAAIIIIAAAggggAACmSig4OO+fftc1dQRQsFPL/Xo0cPbtMWLF4e2o234h7JrEaVYUiLXxJIv5yCQKgF6gKZKnvsigEAgBPbs2RMqR+FAo4aGeENFdJ5Who+WSiKvVatWhYbkd+jQwfr27RvtlhxDAAEEEEAAAQQQQACBDBMoql3hVdd/nrcv3O/169eHdmthpTFjxriFlbTIaqdOnWzAgAGmofH+lMg1/uvZRiBoAgRAg/ZEKA8CCJSqgP+lofD8Of7P/vMiFdB/jv9ane//7D+vcF4TJkyw48ePu93nn39+4cN8RgABBBBAAAEEEEAAgQwX8LcX/O0IVdv/WSPVYkn+YOb8+fNDl2zbts0WLFhgc+bMsdtuu80qV64cOpbINaGL2UAggAIFQ/wBLCBFQgABBJIlcOzYsdDQEt2jXLmC3wmVL18+dGv/S0hop2+jJPLSpObLli1zuTZu3Nhat27tuwObCCCAAAIIIIAAAgggkA0C/raHv02iuvs/KwCqdkhRyT+cvVq1ata9e/cC02wtX77c1BHDnxK5xn892wgETaBgaz9opaM8CCCAQAoFvJ6YKkLhISHxFiuWvD755JNQtv369Qtts4EAAggggAACCCCAAALZI1CmTJmIlfW3K3RStHN1XAusarV49fZUm0ZrDGihVQVO1f7wAp9adX7o0KGm1eATuUb3IiEQZAECoEF+OpQNAQSSKqAXgOrVq5s3dESrLfqT/sfvpZo1a3qbYX8XN68DBw64oSfKXN/qMvdnWGZ2IoAAAggggAACCCCQ8QI1atQI1bGoNkpRAVC1LcJNraX2yxlnnGFagFVBVf2o16cCoIlcEyowGwgEVIAh8AF9MBQLAQRKR0ABUC/l5eV5m+53fn5+6LP/JSS0s9BGcfJatGhRaO7Pnj17Fph/p9Bt+IgAAggggAACCCCAAAIZLOBvV+Tm5haoabxtlAIXF/qg4fBNmzYN7d2xY0doO9JGItdEyov9CJSmAD1AS1ObeyGAQOAEFNj05rfx/w9fQ0K2b98eKm9RPUB1YnHy0uTjXjr55JO9TX4jgAACCCCAAAIIIIBAlgn4O1+ojaLemV5PTw1l91IsbRTNJ6oFjXbv3h12pJk/oOrll8g1Xpn4jUBQBQiABvXJUC4EECgVgS5duph6XyrNmjXLBg8e7F4uFJD0hpvUrVvXtCiRl/Ty4E02rm9nvYnIE8nLy3Px4sXeptWvXz+0zQYCCCCAAAIIIIAAAghkl0Dz5s3dVF379u2zQ4cO2bx589zCRQqEasV2L3Xt2tXbdL/DtVM2btxoo0aNcsc17L1t27ZWp04d91kdQbyAqgKsLVq0cPsTucZdyH8QCLAAAdAAPxyKhkCmCyhwePToUcvJyUlZVU899VQ3742Gv+sF4LXXXrNmzZrZ5MmTQ2U681+ThutlwUvPPPOMeb1F77zzTmvfvr07lEheulDDWvbv3+9lX2BFxtBONhBAAAEEEEAAAQQQQCArBNQ+GjBggH3wwQeuvuPGjXM9ONetW2f6UVJHjN69e7tt7z/h2int2rUzDVtXe0OdOJ5//nlT+0a9PKdOnepdan369AkFRhO5JpQRGwgEVIAAaEAfDMVCIBsE1Nsy1alSpUo2bNgwGz9+vCvK9OnTCxRJ346efvrpBfZF+pBoXrt27QplWatWLatQoULoMxsIIIAAAggggAACCCCQfQL9+/e3mTNnumm5du7caWPHji2AcO6554ZGohU4UOhDuXLl7MYbb7Q///nPbij95s2b7fXXXy9wVqtWrWz48OGhfYlcE7qYDQQCKvDvLk0BLSDFQgABBJItoECsXgr8k41rCEjnzp3tvvvus4oVK8ZchETy8gdAGzRoEPO9OBEBBBBAAAEEEEAAAQQyU0Btk5/97GemYe7+0WhVqlSx66+/3gYNGhRzxTVibcSIEaZApz8pL3X2uOuuu1wvUf+xRK7xX882AkEToAdo0J4I5UEAgZQIaOV1/ejb1b1791qTJk0i9sT85S9/GbWM8eSljDR36J/+9KeoeXIQAQQQQAABBBBAAAEEsktAAcrbb7/dDh8+7KbrUlBU6xNEStHaKa1bt7Z7773XDhw44Ob9VN5ae8BbXClcnolcEy4f9iEQBAECoEF4CpQBAQSSKqDJwmNNGvLuTQoe6zWRzivJvCLdg/0IIIAAAggggAACCCCQfgLxtFG0dkLh3puJ1rhq1aqmn3hSItfEkz/nIlAaAgyBLw1l7oEAAikR8ObS1AJHmZy0iJJSPEP1M9mDuiGAAAIIIIAAAgggEGQBvbdnehtF/gcPHqSNEuQ/iFlWNgKgWfbAqS4C2STQqFEj9z/cuXPnZnS158yZY7Vr17aaNWtmdD2pHAIIIIAAAggggAACmSDQsmVLt7jRhg0bMqE6YeugacVWrlxZYj1Xw96EnQjEIUAANA4sTkUAgfQS0FCRs846yz7//HObMWNGehU+htJq2Mynn35q3333nQ0ZMiSGKzgFAQQQQAABBBBAAAEEUi2gNQM0l+eYMWNsx44dqS5Oid9///799tJLL5lWk+/Xr1+J50+GCCQiwBygiahxDQIIpI3AeeedZ1u2bLFXX33VJk+ebM2aNSuwimLaVKRQQY8cOWJr1651E5gPGDDABg4cWOgMPiKAAAIIIIAAAggggEAQBdRR47bbbrNnn33WnnjiCdOK61rgKBOShr0vXbrULa506623Wo0aNTKhWtQhAwQIgGbAQ6QKCCAQWSAnJ8duuukmmzdvns2ePdsFQ48dOxb5gjQ5onppIvQrrrjCOnTokCalppgIIIAAAggggAACCCAggSZNmtiDDz5o06ZNcwHDjRs3WjwLIwVRUSvKa35Tdc4YNGgQU3QF8SFlcZkIgGbxw6fqCGSTQLdu3Uw/JAQQQAABBBBAAAEEEEAgCAJVqlSxc8891/0EoTyUAYFMFmAO0Ex+utQNAQQQQAABBBBAAAEEEEAAAQQQQACBLBegB2iW/wGg+gikUkCL9xw6dMjNydmnT59UFoV7I4AAAggggAACCCCAAAIIIIBAhgoQAM3QB0u1EEgHga1bt1peXp5pPksSAggggAACCCCAAAIIIIAAAgggkAwBhsAnQ5U8EUAAAQQQQAABBBBAAAEEEEAAAQQQQCAQAgRAA/EYKAQCCCCAAAIIIIAAAggggAACCCCAAAIIJEOAAGgyVMkTAQQQQAABBBBAAAEEEEAAAQQQQAABBAIhQAA0EI+BQiCAAAIIIIAAAggggAACCCCAAAIIIIBAMgQIgCZDlTwRQAABBBBAAAEEEEAAAQQQQAABBBBAIBACrAIfiMdAIRBAIJJAbm6u7d69O9Jh9peQQJ06daxixYollBvZIIAAAggggAACCCCQXQLbtm2zI0eOZFelS7i2ZcqUsUaNGpVwrmSHwP8XIADKnwQEEAi0wIIFC+zll18OdBkzoXB33HGHdezYMROqQh0QQAABBBBAAAEEECh1gRdeeMG2bNlS6vfNpBuWK1fOfv/732dSlahLgAQYAh+gh0FREEAAAQQQQAABBBBAAAEEEEAAAQQQQKBkBegBWrKe5IYAAnEKaHi7hjosXbo07JWbNm0Kuz9oO6tWrWo1atRww8hzcnLs6NGjlpeXZ3v37rWDBw8GrbgnlGf9+vVWtmzk78QqVKhgrVq1OuE6diCAAAIIIIAAAgggkA0Capfs27cvYlUPHToU8ViqDqhdojZKtWrVrHz58q7ddfjwYTtw4IDt2bMncEP2jx8/HrFdKENN2dWyZctUcXLfNBcgAJrmD5DiI5DOAg0aNLBZs2aZ/ie8efPmsFUJevBQLxNNmjSxypUrn1D+mjVrWsOGDd0LxsaNGwMdCP3qq6/s22+/PaEO3g7NEXrLLbd4H/mNAAIIIIAAAggggEBWCcyYMSNqcC5acLS0odTBRG0t/YTr5FC7dm1r2rSp7dixwxTYPXbsWGkXMez91Ink7bffDntMO1WfG264IeJxDiAQTYAAaDQdjiGAQFIFevToYdOmTXM9JZN6oyRlruCmfrwXjHbt2ln9+vXdN5Pq/ak5gLyerW3btrUNGza4l4wkFYdsEUAAAQQQQAABBBBAIMsFNI+mRm5phJqCn2qjtGjRwtQ5Q+0WBWrXrVvn2in16tWz6tWr26pVqyw/Pz/L5ah+pgsQAM30J0z9EEiiwMqVK4sdvNTwC/UAjZSiHYt0TWnsV6BTKxTqBWPgwIHWunXrArfVi4TO6dKliy1ZssTUw7JZs2ZuaHwQV7UvasiOXpQWLlxYoI7xflBvWb18kRBAAAEEEEAAAQQQKG0B9S7Ue3miSb0l1ckhUtLw7VQnBThPOukkq1KliustedZZZ7kAp79cCoSqXaLOKJ9//rmtXbvWtWWWLVsWiCHx0Yw1bL84bRLZhBu55/dhO3MFCIBm7rOlZggkXUC9G4sbzFMAVC8jkdKRI0ciHUrZ/kqVKlnjxo1Nc+pccMEFLtAZqTB6CdHq6gr+TZo0yZo3b+6GxActsKsAaLTnoGEx8+bNi1TNmPartywB0JioOAkBBBBAAAEEEECghAX0/l2c99lt27ZZbm5uxFIFIQCqNoqCn+qoMWzYMNdeiVRgtWmGDh1qU6ZMsRUrVrig6OrVqyOdXmr7oxmrEMV5hmqPEAAttUcZuBtFXvEicEWlQAgggEAwBPRiocBm3759owY//aXVt6ynnHKKG4aiFxISAggggAACCCCAAAIIIFBSAlrkSEPa9fvss8+OGvz07qk2zYABA1xnDfUM1bB5EgKZKkAANFOfLPVCAIGkCGjIu4a365vVTp06xXWP7t27uyHztWrVcgHUuC7mZAQQQAABBBBAAAEEEEAggoAWNlJAU1NwxdPLUe0bDYdXUh4kBDJVgABopj5Z6oUAAkkR0FB2vVi0bNky7IqK0W6qb2PVE1STkfPtajQpjiGAAAIIIIAAAggggEA8AuqkoaR5LuNNatsoeXnEez3nI5AOAgRA0+EpUUYEEAiMQIUKFVxZEv121LvOyycwFaMgCCCAAAIIIIAAAgggkLYC6myhpNFm8SbNB6oRbl4e8V7P+QikgwAB0HR4SpQRAQQCI6Dem0oaKpJI8q5TL1ISAggggAACCCCAAAIIIFASAmqnqI3htVfizVPtFF1POyVeOc5PFwECoOnypCgnAggEQsBbvV2r1yeSvOuCuLp9IvXhGgQQQAABBBBAAAEEEEi9gNopWom+qFXUw5VU1x08eNCOHj3q8gh3DvsQSHcBAqDp/gQpPwIIlKqA90KxYcOGhO7rXeflk1AmXIQAAggggAACCCCAAAII+AS89oXX3vAdKnJzy5Ytpg4aCoKSEMhUAQKgmfpkqRcCCCRFQC8F+nZ18+bNtmPHjrjusX79etuzZ4/7VvbQoUNxXcvJCCCAAAIIIIAAAggggEAkAbUzlBYuXBjplIj7FyxY4I55eUQ8kQMIpLEAAdA0fngUHYF0F9i4caPl5eVZugUD9Q2p0hdffOGGicTyHFTHr7/+2p3qXR/LdZyDAAIIIIAAAggggAACCBQlsG/fPteDc9u2beYFNIu6RsfXrl1rq1atcp08du7cGcslnINAWgoktopHWlaVQiOAQEkLaCVzrRiYaPIm6tacM5Em2460P9F7lsR16vnpreY+efJkO+uss6KumKgg78cff+x6f+pb1SB+s1rUhOc5OTnFetZy158XEgIIIIAAAggggAACqRDQ+25x2i7eIkGpKHus99SIs3bt2tn06dNd+6R9+/ZRL9X5n376qZv3U9tql6U6RWv/qf1YnGcYLe9U15v7J1+AAGjyjbkDAhkrMHjw4GLV7cMPPzR9y6jJtmvWrBk2Lw059+azCXtCinauXr3a2rZt674xHTdunPXu3dtatWplChR6SfPorFixwr755hv3bazqom9Yg5iqVq0a9WWiToF/xe8AAEAASURBVJ06dskllwSx6JQJAQQQQAABBBBAAIEiBSpWrFis99m3337bli5dGvE+arMcO3Ys4vHSOKAyqL3RokUL+/zzz23dunXWo0cP07u8P6m36Ny5c23x4sVu96ZNm2zv3r3+U1K2XatWrYj3btCgQbGeYcSMOZAVAgRAs+IxU0kEEChpAQU3ly1bZs2bN3dZf/bZZ6ZvhevWrWt6udLLhxfc1Qm7du1yLyBB+Fa1pC3IDwEEEEAAAQQQQAABBIIhsHv3bregkYKgGtqun2rVqrkOJ+oBqeCnNyJNHVHU81PXkBDIdAECoJn+hKkfAgEX0P+MFRT0AomFi6s5bOJdbKhwHsn6rBcG9QRVHerVq2fVq1c3//yeOq5vUrdv3x74FRXr169v0b5trVGjRrIYyRcBBBBAAAEEEEAAgcAL6H052sg0vfOrk0QQ0v79+23RokWujeK942uflzRFl4KeKrPaLEFJCtBGaheqjN40ZEEpL+VILwECoOn1vCgtAhkn0KFDBzds/MILLwxbt9mzZ7uelmEPBmSnXia8F4ry5cu7nqB6+dFq8emSNI9px44d06W4lBMBBBBAAAEEEEAAgVIV6Nevn+knUtLUV9ECpJGuS9Z+dTJRZxL9aO5MtVMUYFQbJUhBT3/9NZ3YVVdd5d/FNgIlJkAAtMQoyQgBBBAw90KRToFPnhkCCCCAAAIIIIAAAghktoDmJs3Pz8/sSlI7BIoQIABaBBCHEUAgtQIaahLtm9bUli5z7u4NjcmcGlETBBBAAAEEEEAAAQRKT6Bnz56BWUio9GpdsnfyLyhbsjmTGwJmBED5U4AAAoEWaNmypemHhAACCCCAAAIIIIAAAggEVeD8888PatEoFwII/EugLAoIIIAAAggggAACCCCAAAIIIIAAAggggECmChAAzdQnS70QQAABBBBAAAEEEEAAAQQQQAABBBBAgCHw/BlAAIHUCWgFeK2WrtUISQgggAACCCCAAAIIIIAAAggggEAyBJgDNBmq5IkAAjEJtGrVKqbzOAkBBBBAAAEEEEAAAQQQQAABBBBIVIAh8InKcR0CCCCAAAIIIIAAAggggAACCCCAAAIIBF6AAGjgHxEFRAABBBBAAAEEEEAAAQQQQAABBBBAAIFEBQiAJirHdQgggAACCCCAAAIIIIAAAggggAACCCAQeAECoIF/RBQQAQQQQAABBBBAAAEEEEAAAQQQQAABBBIVIACaqBzXIYAAAggggAACCCCAAAIIIIAAAggggEDgBQiABv4RUUAEEEAAAQQQQAABBBBAAAEEEEAAAQQQSFSAAGiiclyHAAIIIIAAAggggAACCCCAAAIIIIAAAoEXIAAa+EdEARFAAAEEEEAAAQQQQAABBBBAAAEEEEAgUYFyiV7IdQggkJkCx48ft7179wa2cjk5OVatWrXAlo+CIYAAAggggAACCCCQzgK5ubl26NChQFehevXqVrYs/bkC/ZAoHAIBEyAAGrAHQnEQSLXA1q1brWvXrqkuRsT79+7d2yZOnBjxOAcQQAABBBBAAAEEEEAgcYFHHnnE/va3vyWeQSlcOWvWLGvVqlUp3IlbIIBApgjwlUmmPEnqgQACCCCAAAIIIIAAAggggAACCCCAAAInCGR0D9Bjx47ZkSNHrEKFCidUPNYdyiMvL8+qVKkS6yWch0DaCSxdutSOHj3qyr1jx45il79ixYrWoUMHa9asmWl4iv4e7tmzx5YvX25r1qwxDbNPNGlIzqJFi0KX165d2xo1ahT6zAYCCCCAAAIIIIAAAgjELrB9+3bbtm1b6ILdu3eHthPdqFy5smsPNG3a1LUHDh8+bLt27bJly5bZunXrEs02dN2KFStM7QIvdezY0cqUKeN95DcCCCBwgkBgAqBr1661xx9//IQCake5cuXcnH+1atWyfv36uZ9IQU3l88Ybb7h/WFeuXOkCL82bN7e2bdvaGWecYUOHDg17D/9OBVcmTJjggjXKIz8/3/2j3aZNG7vooovszDPPtPLly/svCW2/+OKLNmPGjNDnojaUn35ICKRS4MEHH3QvJCqDXk4STfp7qb8f/fv3D/t35Oyzz7adO3faRx99ZHPnzk3oNqtWrbI777wzdO2FF15oI0aMCH1mAwEEEEAAAQQQQAABBGIX+PDDD23MmDGhC9avXx/ajndDgc/Bgwfb6aefbpq7v3BSe1xTbk2aNKlAp4bC5xX1+bHHHivQ0UlTZEVqoxeVF8cRQCA7BAITAFWQccmSJUWq6x9n9fh67rnnXO8y/wVffvmlC6IePHjQ7dY/vup9tnr1avfzySef2Jw5c1ywJNw/juql9ve//939eL3hqlatanXr1rUtW7a4a3W9zvn1r399wv11002bNsVUD6/c+raNhEAmCOjvyXXXXWcNGjRwE5K3bt3a/R3RgkX6+6RvkvV3UenKK6+09u3b27hx40I9T90B/oMAAggggAACCCCAAAJpKdCwYUO7/vrrXXtdnZjUgahJkyamNrXa2uoBqs4MSmo3fPXVV/b++++bRl2SEEAAgWQLBCYA6q/oCy+8UODbHA2X1TD0BQsW2OjRo90/nA888ICpt6WCnErqAq99SldffbVdfvnlVqdOHfdZwdXJkye7oOm7777rerj94he/cMf8/7nvvvtMkylrNTkFaIYPH26NGzd2Xen1D/Znn31mo0aNckGc2267zZ5//nlr2bKlP4vQtr71uvbaa0OfI214ZYx0nP0IlISAvmXV0PNIScPTDxw44A7rz3q8SUHOW2+91WrWrGnqca0eoHrR8ScNf+nSpYtt3LjRpkyZYj179nTfCr/++uv+04rcVjDVK6tO1jfU+nsbKXXv3r3AvyeRzmM/AggggAACCCCAAAKZKKC29Pz58yNWTUFJ//t1IiPCNFpT7QG1AU466SQ3+tJrq3s31vRYJ598smnU5tSpU905anu/88473ikx/1anJ385Z8+e7UaOhstAZWvXrl24Q+xDAIEsEghkAFTfFGkOwcJJ/1j26NHDbrnlFhfM0RDa0047zZ32xRdfuN8aDvuf//mfBS5VXueff77rmXbPPfe44MtPf/rTAkGRjz/+2AVRNIT3j3/8owvU+DPRN1jqrq9/OH/4wx/avn377Mknn3RB0HBd+xUI0rB7EgJBENAcn+PHj49YFPVw1hcFSol8A3vFFVe44Kf+zA8aNCjq/Dv6FviSSy4xfRmh4KReuOKZNkIBUH177KV58+ZFnVNUPU0jTZnh5cFvBBBAAAEEEEAAAQQyVUCdHaJ1OtA8/f7360OHDsVNoU5ICn526tTJTVkXLYMWLVq49oACn2rPqz2gd/p4kurkb4e/+eabriNTuDxUJgKg4WTYh0B2CaTdKvBaWEU9zJTUI9RLGpqupGG3kVLv3r1dj05Nluz/B1bfHj377LPuMv3DrV5qkVKrVq3siSeecP/Yaq7QTz/9NNKp7EcgKwQUYFTgU0H/AQMGRA1+eiBaVGzIkCHuo75YIEDpyfAbAQQQQAABBBBAAIH0ElCnBvXurF+/vpv7M5bSa6o6jZpUOu+88yIGL2PJi3MQQACBWATSLgCqSmluESVvrk9tKzCq9N5770WdU/Bvf/ub626vYKiXPv/8c9PK1+oarwBoUalXr16hnqeaV5SEQDYLeH+X9PfC/y1sUSb16tVzX1h43xQXdT7HEUAAAQQQQAABBBBAIHgCXntAvzWkPdakkWGaJktrfDB6MlY1zkMAgUQFYv/XKdE7lPB1+/fvDy0y5O/tOXDgQBd80artmlB57Nj/x96dwFs17/8f/zRp0KhBkaKZFJooQxokKomi+CHzzRhu19U1XX9c8xyZKUISMjSYqQyRoiIpUtGkoqK5/31/7/2uu85pn3323uecztp7v76Px26vvYbv+n6fq9prffZ3GOPGFsl9erU8y/2f8qJFi9xu+k83Vtf73Hnos1q9KWnsQY1RSkIgWwX0b0GBT3VlSTZpuAsl/+8p2ePZHwEEEEAAAQQQQAABBIpPQJML67lcz9EKaCabeB5IVoz9EUAgVYFIjgGaV2V+/PcM0vfee68bf7Ny5co5xhbZb7/97LbbbrOrr77aBT61n5Jai2rcULVOO/TQQ92s8Lnz9wFQTXiUaPIBGw28rNmt9atVOGlMw2uuuSa8aodlHXP55ZfvsD68QgNE+7EZw+sVCCYhUNwC+kFBNzvq/q5xcpNNfhKw3P9+ks2H/RFAAAEEEEAAAQQQQGDnC+i5XA2MdF9fokSJpAvA80DSZByAAAIpCiQfsUjxRMkcdv755+f4z1OzUquLuiYeUlJrs8GDB7su6+F827VrZ0888YS99NJLpm7tmvlak7tMmDDBvRSg0czsZ555Zo78FWRUSiYAqpntfIoVANVM13rFS7Vr14632W3TbH3Kn4RAFAXKlSvnipXqGJ76xVjJ5+M+8AcCCCCAAAIIIIAAAgikhYC/j/f39ckW2h/n80n2ePZHAAEEEhWIZAB0/vz5McuvX4c0QZFmec+ru60GX7700kvda+HChfbFF1/Y9OnT7bPPPjNNfvTkk0+6LvTXXXedqfWakv9PNzymaMwChFaGg5IVK1YMbfnPYvv27a137947rA+vSOQ/+WOOOSZmF3sFhDVzPQmB4hTwP0ok828nXF5/nM8nvI1lBBBAAAEEEEAAAQQQiLaAv4/Xs3YqyR/n80klD45BAAEEEhGIZAD0scceyzErtAKUmlEu0fE5fcXr169vep1wwgmuG/mIESPs2WeftalTp9rEiROtT58+btdatWrZt99+a74rvD8+3vuSJUvcZt/cP/e+at2pLvcFTbnHK/X55bXeb+cdgZ0hoCEgFIxXWr9+vWlCo2TSL7/84nZfunRpMoexLwIIIIAAAggggAACCERAQIFLPQeo+/umTZtyPMcnUjzfa5LngUS02AcBBAoiEMlJkPbee29TF3P/UqvOeMFPTXyk4ObYsWPztNDx5557rvXv39/t8/HHHwf7HnDAAW75+++/j9naMtgxtDB37lz3ad99901q5utQFiwikBECc+bMcfX45ptvkqqPJg/TDw9KPo+kMmBnBBBAAAEEEEAAAQQQKFYB3dPrOUDv/hk50QJt3brVvvvuO7c7zwOJqrEfAgikKhDJAGiylVErskcffdSGDRtmvkttXnm0aNHCbfItz/ShS5cubuBmtep888038zo0WK9xRV955RX3uVu3bsF6FhDIRoEpU6aYxunVeLWrV69OmGDWrFluf01upuEqSAgggAACCCCAAAIIIJB+Ah999JFt27bNvvzyy2DejkRqof01ua8CqJq/g4QAAggUpUBGBEA1LqgmYVGTe02AFC9pLFClgw8+ONitevXqdvzxx7vPw4cPdxMnBRtzLSjQoxnmdS51yycAmguIj1kn8Ntvv9m7775r+gVXQ0voc35Jra0//fRTFzh97bXX8tud7QgggAACCCCAAAIIIBBRAQUv1ShCz8h6HlBQM7+kFp8zZsxwQ9Ul0ggpv/zYjgACCOQnEMkxQPMrdO7tVatWtX79+rnxPR955BFbvHixnXXWWbb77rsHu27YsMEef/zxoJt8x44dg21a0MRK06ZNc+OADhw40IYMGWKdO3fOsY9mi7/hhhuCpv3/+Mc/LNYESDkO4gMCERA47LDD4o5Je9JJJwWtNzWuZzItOVW99957zzSW7oEHHuhaR7du3dqaNWtmpUvn/C9GN0OalExdXfQr8ZgxY8yP+5Mok37s0LAYPmmisMGDB/uPO7xrPCISAggggAACCCCAAALZKqDn4jvuuCPP6muejKeeeirYrudpPT8nk8aPH+8aCOkZ4OWXX7Y2bdpYkyZNdhguTo0lNFGxhrFTA4rnnnvOVq5cmcyp3L516tTJMd7orbfeGkxunDszngdyi/AZgewUyBmdSGMDBTArVapkDz/8sOvGrl+RqlSpYhpPVP+hKsiicUkUPFHg0neF91UuX76860KvberKq1ni9SXRqFEjF+ScN2+e+YGZdZ6rr77aFOTJK+k//XHjxuW1OVhfo0YNFwQKVrCAQBEJFPUX/+jRo13gVD8ufPLJJ+4HBU0Gph8JdHOzZs2a4OZGQ1U8//zzpn9XBU2qV1HXraBl5HgEEEAAAQQQQAABBIpTIN79crxtiZZZz9ojR460Hj16WPv27V2LUPX40vOAJkpVT0o1sli1apXL8vfff7dRo0YV2lBYPBMkeqXYD4HsFciYAKgu4amnnuoCnmpV9sMPP7jZqWfOnOmuroKhTZs2dRMh6VepWKlatWp233332YQJE1xQcv78+W4cE7+vWpp2797d+vbtm6N1qd+e+11Bn/xSIvvklwfbESiogH5B9TO4b9y4MaVJiXTTM2nSJNeVpVOnTqYJwjSubjjppkdj/Xz44Yeuu0t4W6LLmtAs3AJU/25JCCCAAAIIIIAAAgggkJpA5cqVc9xfq+HCr7/+mnRm6uGl4a3U4+vII490z99qTRpOapyk7ZMnTzb1PEs1KbBaoUKFVA/nOAQQyEKBEv8OWmzP1Hqreb0mV9FYnQrwJJv0q5QmS1Lzf3UbUD6lSpVKNpsi2V9fHBpfRQFZjWFKQqCwBDTJ1/7771/g7PRvRf9mdEOlmxv9e/S/+BYkc3WnURcbEgIIIIAAAlEXWLRokfvRr0+fPjyoR/1iUT4EEAgENBxcuEt8sCHJBQ2HpecB9aDU+KAKrOpVGEnD16m3JwkBBBBIVCCjWoDmrrRafbZs2TL36oQ/K3CjFwkBBJIXUOtmDRvhh45IPgeOQAABBBBAAAEEEEAAgXQVULd3NSjSi4QAAggUt0BGB0CLG5fzI5COAuXKlbNu3bpFtuiNGzeObNkoGAIIIIAAAggggAAC6S7QvHnzSD8PyJfu7+n+t4zyI7DzBQiA7nxzzohApAXUclozQe6MpK6BaimqQcvr16+/M07JORBAAAEEEEAAAQQQQCCOwMCBA00vEgIIIJBJAgRAM+lqUhcE0kxgzpw5boxdjRdKADTNLh7FRQABBBBAAAEEEEAAAQQQQCBNBEqmSTkpJgIIIIAAAggggAACCCCAAAIIIIAAAgggkLQAAdCkyTgAAQQQQAABBBBAAAEEEEAAAQQQQAABBNJFgABoulwpyokAAggggAACCCCAAAIIIIAAAggggAACSQsQAE2ajAMQQAABBBBAAAEEEEAAAQQQQAABBBBAIF0ECICmy5WinAgggAACCCCAAAIIIIAAAggggAACCCCQtAAB0KTJOAABBBBAAAEEEEAAAQQQQAABBBBAAAEE0kWAAGi6XCnKiQACCCCAAAIIIIAAAggggAACCCCAAAJJC5RO+ggOQACBtBTYtGmTzZ4923777bedXv4SJUrEPOesWbNM5SpZsqRVqlQp5j6prNT59thjD2vUqFEqh3MMAggggAACCCCAAAIZL7BmzRr75ptvbOPGjUVe17yeBwrzxDVr1rRmzZq5Z4vCzJe8EEAgMwQIgGbGdaQWCMQVGD58uN15552mm5xsSvvtt5/dfvvt1q5du2yqNnVFAAEEEEAAAQQQQCBPgbVr19o111xjzz//vG3dujXP/dJxw1577WU33nijHXvsselYfMqMAAJFKEAAtAhxyRqBKAjccMMNdv/991v//v1twIABVr16dStVqlQUilZkZdi2bZvNnTvX7rnnHjv++ONt7NixdsghhxTZ+cgYAQQQQAABBBBAAIF0EFDvq759+9q3335rV155pXXu3NnKly+f9q0mt2/fbj/99JM99NBDdsYZZ7h31ZOEAAIIeAECoF6CdwQyUEBdWhT8HDJkiP3tb3/LwBrmXaUmTZrYUUcdZb169bLLLrvMpk6dajuj603eJWILAggggAACCCCAAALFK/DYY4/ZjBkz7NVXX824BgKNGzd2Ad2zzjrLBXe7d+9uFStWLF5wzo4AApERYBKkyFwKCoJA4QvoxkZja1566aWFn3ka5FiuXDkX+P3+++9N442SEEAAAQQQQAABBBDIZoFXXnnFNRLI1N5RavDwj3/8w37//Xd75513svlSU3cEEMglQAA0FwgfEcgkAXUDadiwoZUtWzaTqpVUXTQOqNLixYuTOo6dEUAAAQQQQAABBBDINIFFixZZ8+bNM61aOeqjiVB32WUXW7JkSY71fEAAgewWIACa3def2me4gMbC0Qzr2Zz8eKeZNsB7Nl9T6o4AAggggAACCCCQmkC2PB/oGYD7/9T+jnAUApkqkN2RkUy9qtQLAQQQQAABBBBAAAEEEEAAAQQQQAABBJwAkyDxFwEBBBIS2LBhg82ZM8dWrFhhLVu2tDp16iR0XKydCpKXJjNSdxb9qnvCCSfEyp51CCCAAAIIIIAAAgggUAgCuu/WWPq1atUyDS1VGENrrVu3zsaPH+9Kt88++1ibNm1ilvSPP/6wr7/+2o3nqXPvueeeMfdjJQIIIJCIAAHQRJTYB4EsFxg+fLjdcMMNtnnz5kCiVatW9sQTTyR9I1KQvJYvX26nnHKKrV+/3sqXL08ANLgaLCCAAAIIIIAAAgggUHgCGiv0zDPPtJkzZwaZlilTxj0TnHPOOcG6VBauu+46GzFihDtU9/a5A6AKkF588cX25ptv2rZt24JTtGvXzu6//35r0KBBsI4FBBBAIFEBusAnKsV+CGSpwB133GHXXHNNjuCnKKZPn25du3a1NWvWJCxTkLwU9NTNlt5JCCCAAAIIIIAAAgggUDQCq1evdvf54eCnzqTGEFdddZXdfffdKZ9YM7P74GesTHSv3717d3v99ddzBD+172effWZdunRhctNYcKxDAIF8BQiA5kvEDghkr4B+fX3ooYcCgIsuusgeeeQR08yKSitXrrSnn3462B5voSB5Kdjau3dv+/jjj+Odgm0IIIAAAggggAACCCBQQIEnn3zSVq1a5XJp0qSJu/8fNGhQkOuDDz6YUqMENZy49NJLg3xiLYwbN87mzp3rNqnL+y233GL33HOP1a9f363TM8X/+3//L9ahrEMAAQTiCtAFPi4PGxHIboFRo0a5MXek0KFDB1N3FaVKlSrZgAED3PKjjz5qF1xwgalLTLyUSl5r1661K6+80l588cV4WbMNAQQQQAABBBBAAAEECkFg06ZN9vjjjwc53XbbbXbooYdanz597NNPP3W9wBTIfP755+3ss88O9ktkQff1y5Yti7vr2LFjg+3XXnttMORVyZIl7ZJLLnHb1BKUhAACCCQrQAvQZMXYH4EsEvjggw+C2nbr1i1YVtf3XXfd1X3WTcy3334bbMtrIZW8FixYEAQ/ddOjMYJICCCAAAIIIIAAAgggUDQC33zzjWncfSXd7yv46ZN6ZPn0/vvv+8WE3tWy0wc3401mNHr0aJs2bZo988wz1qtXryDv8FwEe++9d7CeBQQQQCBRAQKgiUqxHwJZKBD+hTb3jUa9evUCkaVLlwbLeS0UJK+mTZvaK6+84lqa5pU/6xFAAAEEEEAAAQQQQKBgAuH7et/t3OeY7P2/P04B1SFDhriPuq8Pd6f3+/j3EiVKmJ47jj76aNfDTC1SP/roI1O3e5/CgVi/jncEEEAgPwG6wOcnxHYEslggfAPkW3x6jvDncHDTb8/9nkpeNWvWdN1rNNi5kh8PKHfefEYAAQQQQAABBBBAAIGCC4Tv68P3+8o5/Dm8X35nvfzyy92YoqVKlbJhw4bZl19+md8hwXb1PFOrVJ+GDh1qAwcO9B95RwABBBIWoAVowlTsiEB2CWzdutVWrFgRVLps2bLBshbCn8PBzRw7/fdDqnntsccebqbHWHmyDgEEEEAAAQQQQAABBApXIHxfH77f11nCn9Wqc9u2bfme/LnnnrOJEye6/QYPHmwHHHBAvsf4HbZv327z58/3H6127dp22GGHBZ9ZQAABBJIRoAVoMlrsi0CGCegG54UXXtihVhUqVMh3UHPdkPik8TnjJXVliZeSyStePmxDAAEEEEAAAQQQQACB1AXi3beH79m1X7x9VYLFixebWmwqNW/e3K644gq3nOgfmvFdEy2p5agmVNWzy7HHHmunnXaa3XnnnfmeP9HzsB8CCGSHAAHQ7LjO1BKBmAK6Kbnxxht32FajRg0799xzTV3QffcWjb8TThs2bAg+6tfYeEkB0sLKK9552IYAAggggAACCCCAAAKpC+y+++7BwfHu/7VfvACogqUXX3yxKYipAOZdd91lWqc8t2zZEpxDrUi1TvvoFU6VKlWyG264wa1S61EFUTdu3GgjR460Tp065ZgkKXwcywgggEAsgfjNtmIdwToEEMgaAQUtfVq7dq1fdO+6mfEpfKPk1+V+L8y8cufNZwQQQAABBBBAAAEEECi4QGHds69evdomT57sCqThsDSpkWZ/1+uqq64KCvr888+7dRdddFGwLtZClSpVcgyN9eGHH8bajXUIIIBAngK0AM2Thg0IZL5AtWrVrE+fPjtUVL+2KtWqVSvYtnDhwmBZv9SGP+fXArSw8woKwgICCCCAAAIIIIAAAggUmkD4/v+nn35yrTZ9S88ffvghOE8i9//BzgkuqIfZ6NGjbdGiRfbLL7/Y7bffbuXLlw+OViDVp/CyX8c7AgggEE+AAGg8HbYhkOECDRs2tEceeSTPWh511FH27rvvuu1jxoyxCy64wHV1eeutt1z3E22oV6+eNWvWLMhj/fr1bpZHrdBA6f4mKpW8gkxZQAABBBBAAAEEEEAAgSIXaNmypbt/1yRHuq8fP368G3dT3ddff/314PzdunULlmPd/5cpU8Z1Uw92Ci0sWbLEvvvuO7dGgdR9993XdW/Xs8Ntt90WDMHVtm1bO+OMM9x+v//+u7333ntBLionCQEEEEhGgABoMlrsi0CWCfTv399uuukmN3bPrFmzTGPvtGjRwoYNGxZInHfeeTnG63njjTfswgsvdNvbt29v48aNc8up5BWchAUEEEAAAQQQQAABBBAocgEFLgcOHOgCkTrZ1VdfbT///LPNnDnTvbRO3eT79u2rRZdi3f+rR5lac8ZKTz31lA0ZMsRt6ty5s917773Bbr179w4aaFx33XWmZ5C99trLHn/8cTdWqHasXr269ejRIziGBQQQQCARAQKgiSixDwJZKlCxYkV3c6KbDyXNvhhOuhk59dRTw6vyXC7MvPI8CRsQQAABBBBAAAEEEECgQAIKgL744oumLu/qjh4es1MZX3755a6nV4FOksfBCrhOmTLFZs+e7VqgKlgaTqVLl3YB0/BYpeHtLCOAAAJ5CTAJUl4yrEcAASegbu+PPvpo0JVdKzWre9euXe3tt982BTYTTYWZV6LnZD8EEEAAAQQQQAABBBBIXEDBxUmTJrmJixRw9EnzBwwfPtzOOeccv6rQ3zXmp3qQnX/++abWqOHUpk0b9/yhCZVICCCAQLIC//vfLNkj2R8BBLJG4Pjjjze9Fi9e7Mbk0Tg9FSpUiFn/k046yfTKKyWTV+48mjZtaitWrMi9ms8IIIAAAggggAACCCBQiAJVq1a1Z555xjQx0Zw5c6xGjRpu7P9Yp8jv/j/3MWphqldeqXLlynbjjTfatdde61qhrl271vQc4Cdqzes41iOAAALxBAiAxtNhGwJpLqDBygsz1a1b1/QqjFSYeRVGecgDAQQQQAABBBBAAIFMF0j2+aBcuXLWqlWrYmHZZZddXOCzWE7OSRFAIOME6AKfcZeUCiHwPwF1Wdm0adP/VmThkq9/7i40WUhBlRFAAAEEEEAAAQSyXEDPBxs3bsxoBQV5N2/ebOHu+xldYSqHAAIJCRAATYiJnRBIT4HGjRvbvHnz7LfffkvPChRCqadNm+ZyadiwYSHkRhYIIIAAAggggAACCKSvQKNGjeyLL75I3wokUPIZM2bYli1bjPv/BLDYBYEsEiAAmkUXm6pmn0Dfvn1Nv4AOHTrUtm3blnUAy5Yts5tvvtkOPvhg080eCQEEEEAAAQQQQACBbBY49dRTberUqW6W90x0WL9+vXv22XPPPa1Tp06ZWEXqhAACKQowBmiKcByGQDoI6Iv/lltuscsvv9zmz59v/fv3N83qmOlp69atNnfuXHvyySdd4Peee+7J9CpTPwQQQAABBBBAAAEE8hXo16+fm+H9ggsucDOqd+3aNc/JTfPNLEI7qLHHokWL7KmnnrJffvnFXnjhhR1mkY9QcSkKAggUgwAB0GJA55QI7EyB0047zRQIvfXWW23IkCE789TFeq6yZctajx497Jprrim0iZuKtUKcHAEEEEAAAQQQQACBAgqUKFHCHnnkEWvdurU9/PDDNnbs2ALmGJ3DS5UqZR07dnSNIJo3bx6dglESBBCIhAAB0EhcBgqBQNEKdO7c2fRSl5C1a9cW7ckikLtu7KpXr87A5xG4FhQBAQQQQAABBBBAIFoCJUuWtEGDBrnX6tWrM2ZSpGrVqpkaQZAQQACBWAIEQGOpsA6BDBXYddddTS8SAggggAACCCCAAAIIIKCgIQkBBBDIBgEmQcqGq0wdEUAAAQQQQAABBBBAAAEEEEAAAQQQyFIBAqBZeuGpNgIIIIAAAggggAACCCCAAAIIIIAAAtkgQAA0G64ydUQAAQQQQAABBBBAAAEEEEAAAQQQQCBLBRgDNEsvPNVGIAoCH374oW3YsME0Y2OXLl2iUCTKgAACCCCAAAIIIIAAAggggAACGSZAADTDLijVQSCdBP78888gAJpO5aasCCCAAAIIIIAAAggggAACCCCQPgJ0gU+fa0VJEUAAAQQQQAABBBBAAAEEEEAAAQQQQCBJAQKgSYKxOwIIIIAAAggggAACCCCAAAIIIIAAAgikjwAB0PS5VpQUAQQQQAABBBBAAAEEEEAAAQQQQAABBJIUIACaJBi7I4AAAggggAACCCCAAAIIIIAAAggggED6CBAATZ9rRUkRQAABBBBAAAEEEEAAAQQQQAABBBBAIEkBAqBJgrE7AggggAACCCCAAAIIIIAAAggggAACCKSPAAHQ9LlWlBQBBBBAAAEEEEAAAQQQQAABBBBAAAEEkhQgAJokGLsjgAACCCCAAAIIIIAAAggggAACCCCAQPoIEABNn2tFSRFAAAEEEEAAAQQQQAABBBBAAAEEEEAgSYHSSe7P7ggggEChCTRs2NC2bNliJUvyW0yhoZIRAggggAACCCCAAAIIIIAAAgjkECAAmoODDwggsDMFGjVqtDNPx7kQQAABBBBAAAEEEEAAAQQQQCALBWh2lYUXnSojgAACCCCAAAIIIIAAAggggAACCCCQLQIEQLPlSlNPBBBAAAEEEEAAAQQQQAABBBBAAAEEslCAAGgWXnSqjAACCCCAAAIIIIAAAggggAACCCCAQLYIEADNlitNPRFAAAEEEEAAAQQQQAABBBBAAAEEEMhCAQKgWXjRqTICCCCAAAIIIIAAAggggAACCCCAAALZIkAANFuuNPVEAAEEEEAAAQQQQAABBBBAAAEEEEAgCwUIgGbhRafKCCCAAAIIIIAAAggggAACCCCAAAIIZIsAAdBsudLUEwEEEEAAAQQQQAABBBBAAAEEEEAAgSwUIACahRedKiOAAAIIIIAAAggggAACCCCAAAIIIJAtAqWzpaLUEwEEoifw559/2vbt261EiRJWvnz56BWQEiGAAAIIIIAAAggggAACCCCAQNoLEABN+0tIBRBIX4EPP/zQNmzYYKVKlbKePXumb0UoOQIIIIAAAggggAACCCCAAAIIRFaALvCRvTQUDAEEEEAAAQQQQAABBBBAAAEEEEAAAQQKKkAAtKCCHI8AAggggAACCCCAAAIIIIAAAggggAACkRUgABrZS0PBEEAAAQQQQAABBBBAAAEEEEAAAQQQQKCgAgRACyrI8QgggAACCCCAAAIIIIAAAggggAACCCAQWQECoJG9NBQMAQQQQAABBBBAAAEEEEAAAQQQQAABBAoqQAC0oIIcjwACCCCAAAIIIIAAAggggAACCCCAAAKRFSAAGtlLQ8EQQAABBBBAAAEEEEAAAQQQQAABBBBAoKACBEALKsjxCCCAAAIIIIAAAggggAACCCCAAAIIIBBZAQKgkb00FAwBBBBAAAEEEEAAAQQQQAABBBBAAAEECipAALSgghyPAAIIIIAAAggggAACCCCAAAIIIIAAApEVKB3ZklEwBBDIeIE2bdrYtm3brESJEhlfVyqIAAIIIIAAAggggAACCCCAAALFI0AAtHjcOSsCCPxboHr16jgggAACCCCAAAIIIIAAAggggAACRSpAF/gi5SVzBBBAAAEEEEAAAQQQQAABBBBAAAEEEChOAVqAFqc+50Yg4gJ//vmnbd++PeKlzL946mJfvnz5/HdkDwQQQAABBBBAAAEEEIiEwMaNG23r1q2RKEtBCqFnkXLlyjHsV0EQORaBQhAgAFoIiGSBQCYJ6EZj/Pjx9umnn9q6desypmoVKlQwjTnao0cP0zIJAQQQQAABBBBAAAEEoiWwefNme/vtt23q1Km2Zs2aaBWuAKVRAPTAAw+0nj17WpUqVQqQE4cigECqAgRAU5XjOAQyUEAtPu+9915btmyZtW/f3urVq2clS5Z0r3Surn45XrJkiU2ZMsW++eYbu+yyy6xSpUrpXCXKjgACCCCAAAIIIIBARgls2bLFhg0bZj/88IO1a9fOGjRoYKVKlUr7ZxFN+rp06VL3LDJnzhz3LFKjRo2MunZUBoF0ECAAmg5XiTIisJMEXnvtNVuxYoX7UlbwM9NShw4d7K677rKXXnrJBg4cmGnVoz4IIIAAAggggAACCKStwFtvveWCn4MGDbJmzZqlbT3yKvjhhx/unkWee+45u/jii/PajfUIIFBEAkyCVESwZItAugmolaS6vXfs2NG1/Ey38idS3tq1a1u3bt1s+vTpptauJAQQQAABBBBAAAEEEIiGgLq9t23bNiODnxKuVq2a6wL/3XffuUYn0VCnFAhkjwAB0Oy51tQUgbgCq1atsk2bNlnDhg3j7pfuG1U/Teyklq4kBBBAAAEEEEAAAQQQKH4BzUOgMT8bNWpU/IUpwhL4Zy0NOUZCAIGdK0AAdOd6czYEIiugsWmUNM5OJqfSpf8z8kcmzCiZydeJuiGAAAIIIIAAAghkj4C/N8/0Z5EyZcq4i+rrmz1XmJoiUPwCBECL/xpQAgQQQAABBBBAAAEEEEAAAQQQQAABBBAoIgEmQSoiWLJFINMFNm/e7GZWX7dundWtW9eqVq2acpVTySuVY1IuIAcigAACCCCAAAIIIIBAZASK6llgwYIFtnLlSlfPAw880HbZZZeYdVZ3/eXLl7t5BWrWrGl6+dadMQ9gJQIIFLsAAdBivwQUAIH0E3jvvffs1VdftXDXjfr169vZZ5/tBvdOpkap5JXKMcmUiX0RQAABBBBAAAEEEEAgmgJF9SygOQKGDRvm5kVQzRs3brxDAFTzJowZM8a+/vrrHDiVK1e2Pn36WJs2bXKs5wMCCERHgC7w0bkWlASBtBAYP368jR07NkfwUwVfuHCh3XbbbfbHH38kXI9U8krlmIQLxI4IIIAAAggggAACCCAQWYGiehbQfAjPPPNMEPyMBaAJYx966KEdgp/a9/fff7enn37avvrqq1iHsg4BBCIgQAA0AheBIiCQLgKanVG/uPrUtWtXGzhwoO2+++5ulbrDT5482W+O+55KXqkcE7cQbEQAAQQQQAABBBBAAIG0ECjKZ4F33nnH1P09Xpo2bZotXbrU7VKpUiXr37+/DR482A466KDgMPWSIyGAQDQFCIBG87pQKgQiKfDxxx+7cW5UuEaNGlnv3r2tdevWrruHL/AHH3ywQ+tQvy38nkpeqRwTPifLCCCAAAIIIIAAAgggkJ4CRfUs8PPPP9ubb76ZL8qiRYuCfQ477DA79NBDrWHDhjZgwAArXfo/owtqXFAFakkIIBA9AQKg0bsmlAiByArMnTs3KNv+++8fLDdv3jwYH0fdP3755ZdgW14LqeSVyjF5nZ/1CCCAAAIIIIAAAgggkD4CRfEsoDkNRo4caVu2bLEKFSoEzzSxVKpVqxasLlu2bLBcqlQp00upYsWKTIYUyLCAQLQECIBG63pQGgQiLfDbb78F5atRo0awrIXq1asHn8P7BStzLYT3STSvVI7JdVo+IoAAAggggAACCCCAQBoKFMWzgMYUXbx4sdPo27evhQObuYnU6MOnKVOmuC7za9euda1HfatP7VOyJGEW78Q7AlESYBb4KF0NyoJAxAXCNx25bw7Cn8P75VWl8D7hY7V/+HN4v/ByeJ94x+R1ftYjgAACCCCAAAIIIIBA+ggU9rPAjz/+aJMmTXIALVu2tLZt29rLL7+cJ0jdunXtvPPOsxEjRphmjL/77rtz7NuiRQvr169fjnV8QACB6Ajw00R0rgUlQSDSApoZUb9w+uTHufGfy5Qp4xctfHMSrAwtpJJXKseETskiAggggAACCCCAAAIIpKlAYT8LaEZ3zfq+fft223XXXe3kk09OSKZp06a2995777BviRIl7OCDD87RkGOHnViBAALFKkAAtFj5OTkCmSOgmwefCtrtI5W8UjnGl5d3BBBAAAEEEEAAAQQQSF+BZJ8FXnvtNVu2bJmr8EknnWSVK1fOt/KrV692rT6//fZbt6/GBD3ggAPc+J86/2OPPWbjxo3LNx92QACB4hGgC3zxuHNWBNJOQEHNSpUqmSY5UtJA4eG0efPm4GOVKlWC5VgLqeSVyjGxzs06BBBAAAEEEEAAAQQQSC+BwnwWmDdvnr3//vsOQF3f9fLPNuFAqiZI0nrf8+2tt94KxgvVLPAaM1STH6n32z//+U/T85D2ad++vdWsWTO9gCktAlkgQAA0Cy4yVUSgsATCAdANGzbkyNYP/K2VifyCmkpeqRyTo5B8QAABBBBAAAEEEEAAgbQUKKxngRkzZgT1/+qrr+yyyy4LPocXFNRUuvbaa11A07f81LrDDz88mPldjT80/uf06dO1yebMmWMdO3Z0y/yBAALREaALfHSuBSVBIPIC4cDmr7/+GpRXY/KsXLky+JxfC1DtmEpeqRwTFIoFBBBAAAEEEEAAAQQQSFuB4nwWUEtQTXzkk28V6j9XqFDBL9ry5cuDZRYQQCA6AgRAo3MtKAkCkRdo3rx5UMZp06a5QcO1Yvbs2UG3kerVq1udOnWC/dQydNWqVe7lu89rYyp5pXJMUBAWEEAAAQQQQAABBBBAIG0FUnkWiPUssvvuu1uzZs1ivtSl3adGjRq5fXbZZRfXDV7H+fTll1/6RfdMpJakPoWfhfw63hFAoPgF6AJf/NeAEiCQNgKa2fD11183dX9fsmSJjRo1yurWrWvvvPNOUIcjjzzSNEaPTzNnzrSRI0e6jw0bNrTBgwe75VTySuUYXw7eEUAAAQQQQAABBBBAIH0FUnkWiPUscsQRR5hesdLQoUNt7dq1btPpp59umujIp3333TeYOGnSpElu7E8930yZMiWYJ6FMmTIuaOqP4R0BBKIjQAA0OteCkiAQeYFy5crZMcccYy+//LIr6yeffJKjzLvttpsb9DvHyjw+pJJXKsfkcXpWI4AAAggggAACCCCAQBoJFPezwHHHHWfz58+3RYsW2aZNm+yjjz5yrzBhz549rUaNGuFVLCOAQEQECIBG5EJQDATSRaBz585WtWpVGzNmTPDraIkSJUy/iOpX0rJlyyZclVTySuWYhAvEjggggAACCCCAAAIIIBBZgeJ8FlDrzgsvvNAmTJhgkydPDoYAE5aejzQr/AEHHBBZOwqGQLYLEADN9r8B1B+BFARatWplemlsT43ruccee5jGxomV2rVrZ3rllZLJy+eRyjH+WN4RQAABBBBAAAEEEEAgfQWSeRbI71kkt8LNN9+ce1WOz7vuuqudeOKJptagmgR23bp1VqtWLUtkEtgcGfEBAQR2ugAB0J1OzgkRiKbA9u3bky6YurzrVRgplbxSOaYwykoeCCCAAAIIIIAAAgggULwCxfksoNagTHZUvNefsyOQrMD/ZipJ9kj2RwCBjBLwExdt27Yto+qVuzK+fuq2T0IAAQQQQAABBBBAAIHiF/D35v5evfhLVDQl2Lp1q8vYP3sVzVnIFQEEYgkQAI2lwjoEslBA3TZ047F06dKMrv0vv/zi6hee0TGjK0zlEEAAAQQQQAABBBCIuED58uVNkxxl+rOIr5/GDCUhgMDOFSAAunO9ORsCkRXQ5EX77befvffee7Z+/frIlrMgBduwYYO9/fbb1qBBA8bpKQgkxyKAAAIIIIAAAgggUMgCBx10kE2ZMsXNM1DIWUciuy1bttj48eOtZs2aVrdu3UiUiUIgkE0CjAGaTVebuiKQj8AJJ5xgd9xxh915553Wo0cPq1+/vmVC9wx1pVm8eLG9+eabtnr1ahs4cGA+EmxGAAEEEEAAAQQQQACBnSnQs2dPmzNnjt11112m5YYNG1qpUqV2ZhGK5Fx6Flm2bJmbPf6nn35yM8n7Lv9FckIyRQCBmAIl/j3xSfIzn8TMipU7U0Azzk2cONG6d+9u1atX35mn5lwZLqAu4qNGjbIff/wx42qqX1oHDBhg9erVy7i6USEEEEAAgegJLFq0yD788EPr06ePVahQIXoFpEQIIIBAxARWrVrlnkXmzp0bsZIVvDiaLb5///7WuHHjgmdGDgggkLQALUCTJuMABDJbQLMZXnHFFbZ8+XJbsWKFFeVA5NOnT7fNmze7VqZt27YtMli1YtUPBbVr1y6yc5AxAggggAACCCCAAAIIFExAM7tfdNFF9uuvv7rxQIvyWaRgJU38aLX21Jife+65p5tzIfEj2RMBBApTgABoYWqSFwIZJKBfKPUqyvTzzz+bxuVU15YWLVoU5anIGwEEEEAAAQQQQAABBNJEQI0X6OmYJheLYiKQJgJMgpQmF4piIoAAAggggAACCCCAAAIIIIAAAggggEDyAgRAkzfjCAQQQAABBBBAAAEEEEAAAQQQQAABBBBIEwECoGlyoSgmAggggAACCCCAAAIIIIAAAggggAACCCQvQAA0eTOOQAABBBBAAAEEEEAAAQQQQAABBBBAAIE0EWASpDS5UHkV89BDD7WFCxfmtZn1CDiBsmXLWuvWre3SSy+14447DhUEEEAAAQQQQAABBBBAAAEEEEAgawQIgKb5pR40aJBt3rw5zWtB8YtaYP369TZ+/Hjr3bu3XXXVVXbzzTcX9SnJHwEEEEAAAQQQQAABBBBAAAEEEIiEAAHQSFyG1Avxf//3f1a9evXUM+DIrBG47rrr7J///Kddf/311rFjRzv66KOzpu5UFAEEEEAAAQQQQAABBBBAAAEEsleAMUCz99pT8ywUuPbaa+3AAw+0Bx54IAtrT5URQAABBBBAAAEEEEAAAQQQQCAbBWgBmo1XnTpnrUCJEiWsS5cuNnr06EgYVKlSxcqVK2elSpWKRHkoBAIIIIAAAggggAACCKQmoGeMdevWpXYwRyUl0K9fP6tUqVJSx7AzAtkuQAA02/8GUP+sE6hQoYJt3LgxEvU+5JBDIlEOCoEAAggggAACCCCAAAIFE5g1a5atXr26YJlwdEICmtiWAGhCVOyEQCBAADSgYAEBBHamgCbv+v33310wVrPU6wt8l1122ZlF4FwIIIAAAggggAACCCCQhQLqGadnj9KlS9u2bdts06ZNtnXr1iyUoMoIZI8AAdAMutb6xW3hwoWuRrvvvru1adMmg2pHVeIJLFmyxGbMmOF20aRYUW5ZuWjRItPf1V9++cXdbPh66Sakdu3att9++9k+++zjV/OOAAIIIIAAAggggAACxSzw8ccf27fffhu3FOr+vn379rj7FPfGXXfd1WrVquUaX5Qs+b8pUVTuP/74w1auXJkWrVjHjBljakSSV9JQYyeccEJem1mPQFYKEADNoMuuiW0efvhhVyM1iX/11VcLXLstW7a4CXMUUB0wYECB8yODohF499137fTTT3eZH3HEEfbBBx8UzYkKkKu63b/33nu2ePFil4u+sGvWrOnGANU23WwoKKqXAqGdO3c2ddcnIYAAAggggAACCCCAQPEKqOfWihUr4hZCLSnVqCGKSeXaa6+9rFq1aq54ZcqUcYHQ8uXLu9afv/76qyu7AqR6RlHDIrUKjWpatWqVa72aV/n0HE9CAIGcAgRAc3rwKSSgoNqFF17oful78MEHQ1tYRCA5gQ0bNti4ceNcl/fKlStbu3btrF69epb7V1cFR6dNm2ZLly51AfxevXpZxYoVkzsZeyOAAAIIIIAAAggggAAC/xXQM0fDhg1d4woFONVTUp/DzyLaVc8gn332mS1fvtwaN25s33//fWTmTuBiIoBAwQUIgBbcMGNzuO222/Lt5pCxladihSag7iRvv/22C37qV1e17NQvrrmT/1V2jz32cC1YFyxYYG+99ZapNTOzxOfW4jMCCCCAAAIIIIAAAokJvP/++y6ol9jesff66aef8u0arhagUUx6BlHPMvVqPOqoo1wPtFjlVC+0nj17mrr7f/PNN25Yru+++y7HsF2xjiuOdb/99tsOAdxwOdSdf/To0eFVKS2fdNJJKR3HQQhEUeB/g15EsXSUqcgECrs5v4JcmtQm2ZRI0/xUyrp+/fqkipJq+ZM6SYo760ZC4+mka5o3b577NVVjk3bp0iVm8DNcNwU7jzzySNcNXl1R5syZE97MMgIIIIAAAggggAACCCQhoOeJgr6SOF2kdtVEq1WrVnVjfnbr1i3P4KcvtFqFdujQwfbee283xqaCpumaCnrNdTwJgUwSIACaSVczn7qsWbPGBg0aZE2bNnX/8es/86OPPtq1sgsfqvFOWrdu7X758uv/9a9/uXX33HOPX+XeX3vtNRes0peKuhMccMABNnjw4JgBO+Wpl86pXxA7derkfok76KCDTIM4h9Mbb7zhut+3aNHClVW/2vXo0cPULT9WUhfru+++2/bff39XDnWbLleunDVr1sxuuOEG+/PPP2MdZomUXwFYdcX25e/du7eFA7fjx48PtmmfyZMnu3M999xzwforrrhih/P3798/2P7hhx/m2K7uFzpG3cT9DOlqNdmyZUtLt+EIZs6c6eqmGwnNsphI0o3HoYce6sbh+eqrryI/mHoidWIfBBBAAAEEEEAAAQQQ2LkCmvBI6eCDD447aVC4VOqZ1r59e9cLrUaNGnFbWoaPYxkBBKItkFg0Itp1oHQJCMyePduOPfZYF3j0u2tsk0mTJrkA6NChQ+3GG290mxRMnD59ut/NvWvmbr3UfdknBejuuusu/9G9K1il15tvvumCiwq2+uTz1JfI8ccfb19++aXbpNnLFaz06d5773VBVP9Z7xobUi8FGy+44AK7//77gwG29cuU8ps4cWL4EDdey9y5c+26665zXT40SVQ4JVr+XXbZxS699FLTL4ZqKap6qN5/+9vfTINPn3322W7iHuV9yimn2GGHHeZOo0HCfZ0VwM2d1K1CVkrqwuCTWj0e+e8WkCp7OCno+vXXX7vAsLqH33HHHeHNkVxW0F1122233VyXk2QKqQHK1Q1FkyLp72o6//qaTL3ZFwEEEEAAAQQQQAABBAouoJ5laqSjiY7q16+fVIY6Tq1A58+f71qPhp/XksqInRFAIDICtACNzKVIrSAao0T/mev17LPP5pnJ+eefHwQ/FYy7+eabXeBOgUcF9W666Sb79NNP3fFqPamAov+1TCvVslPr1MJSSWMz+uCnWuv16dPHfW7evLnbrm7PagkaK2m2bwU/q1Sp4lqjqmu0WoUqPfTQQzmO0/qrrroq2K6yDhs2zL183mot6oOfGtD66aeftilTprg12SGJAABAAElEQVTZ6/0sfzrG76Pjki1/165d7fLLL/entOuvv94Nin3RRRcFwU99QRZG60y5+uCnBt9WoPO+++4LDFQIfU6HbvEK5ippXM9Ukj/O55NKHhyDAAIIIIAAAggggAAC2SegZ1215tQzhd6TTXXq1HGHhBvrJJsH+yOAQHQEaAEanWuRUknUVVrdyeOlV155xQUEtY9+yfr2229d13N9PuSQQ+zcc8/Vol177bUuSLjnnnvayy+/bN27dw+Chgqgqvu8T0OGDPGL7ji1slRS0FPBWLUWnTBhgutGr+4DuVOjRo1ca0Z9magO6t6tFo5qVemTJmEKn0efr7zySrdZQdF+/fq5VoFqFemTusyffPLJrnuDulxrdj+1flUAV13tfQrnq3onUn4Fjd955x1Ti1V1qVeL0B9++MFlqV8Xn3nmGRfU9edI9V1eqqdah2roAZVd6YwzznD1VQtdjbe6ZMkSF0BO9Tw74zg/9IAGHU8l+eN8PqnkwTEIIIAAAggggAACCCCQfQJ+4lX/TJGsgD/O55Ps8eyPAALREqAFaLSuR9Kl0a9SvgWoWm7GSr5lp7Ydc8wxQfBTn0844YRgUpr33nsvobEWFYzyXbeVR9++ffXmkn5ZU2DSp7zG7PzrX/8adHtXN2eladOmBa0aVadwi0tt92NialmtH6dOnapF22+//dy7/njyySddt2nVS13emzRp4o5TC061NFVKtfzqCj9q1CjXhUL5+OCnlq+++mo3ZqWWC5rUqveWW25xwwgo+KnyqkWrxjgNj6G5du3agp6qyI/3NwupTJClwvnjfD5FXmBOgAACCCCAAAIIIIAAAhkh4Cfx8c8UyVbKz/uwdevWZA9lfwQQiKAALUAjeFGSKZIm8fGBvb/85S/28MMP73D4d999F6zTGJq5x1L0/6Hri0HjVoa7vgcHhha+//77HIHS8Lig2k0tFH1SK8VYyXeVD29TANYnBf7UqjKc9FnrfYtXtfxU13sFdTt27GgffPCB213jTqoFq14XX3yx67avVp4+MFuQ8u+7776uS/qFF14YFK1Vq1Z2zTXXBJ9jLajrfu7k3XOv12fV8fnnnzd171eg13/5xto3yut8UH716tUpFdMf5/NJKRMOQgABBBBAAAEEEEAAgawT0GS2Sv6ZIlkAzfeglGoANdnzsT8CCBStAAHQovWNRO6///57UI7169ebXnklBSzzC4CG81M+mqAmr5RXANSPzRk+Lty6UTOfx0rhloD+i0j7KhCsiZGGDx/uut+Hj501a5addNJJ5rvUF7T8P//8czh703inCxcutAYNGuRYH/4QK4C5cePG8C7Bslp7HnfccW6CJa3UMAGHH364mxhJY6RqyAAljb0a9aRgu66rJrDSDYha0SaaZCZXP25PosexHwIIIIAAAggggAACCCCghjl6Blm2bJnrQZhMowo1YPE9/nI/PyKLAALpKRD9CEp6ukaq1Jqcx6fzzjvPtd7Uf+ixXuFxMv0xeg+3YAznpyCcglux8tK6V199NZxNsBwrEBYeK1QzpMdKGr/UJ4336VOlSpVMM9krYKaWoZpJXl3JwwHTO++80+1ekPKrNaa6p4eTuqKfdtpplrtFZzhAGSvYmdcvkZpV3v/aqKECtJ+GElAr1nCeuVvIhssUlWUFPzUOq4KZmvgqmaTAtW5aNBwCA48nI8e+CCCAAAIIIIAAAgggIAH/zPX5558nBaJelJr5XY2HfEvSpDJgZwQQiJwAAdDIXZLCL9CBBx4YZDpmzJgcTfg1oY9aR/7zn/80bQsHOsMBtnALRs2i51uJalyVF154IchfC5pgSF3ENSN6uPt9eKdYAVDN4O5bgSr4NW7cuPAh7vOcOXPcOu3Xrl07t/zoo4+6CZrUFV/dxjVT/SWXXOJahX700UdBHgoqqh6plj93oFPjinojBUY1YVE4hQOt+vUwbKsv4Fgzm6t1qZ8BXsHOf/zjH0HwTy1tNUSBT35MG/85qu8aIkDXS4HpH3/8MaFiquXwF1984QK++ntBQgABBBBAAAEEEEAAAQSSFdAzlJ4BNQxaXo1scue5cuVKNwyZnt9y9/7LvS+fEUAgfQToAp8+1yrlkmr2cLUeVABQr169erkJhjSr3WWXXWYKxr344ovWo0ePHBMa+VnvdGIFOcuXL+/GG9UEQ5rtXS0ulRT4++OPP+zEE090Y1becccdbr3+0MRGiSbl379/fzebuo5RYFYTISmANn36dLvrrruCrDRLug8wakImdX1X0peaWgseeeSRbhzNJ554IjjGB+K0IpXy65gFCxa4/OrWrWsvvfSSq7tvEaog8tFHH21t27Z1+4QnZ9JxOv7MM8+0mTNnuuvhdsr1h7plqMu3vmwV4Lz99ttNM94rIKx33+1fh8k8HdKuu+7qrsfbb79t77zzjvNRkDrcmtXXQ/XWNfzkk0+cwWGHHWZVq1b1m3lHAAEEEEAAAQQQQACBJAWaNWvmelUleViO3XWfHp7rIcfG/37Q5K1Ra6ShcvvhyjTUmCbTVa9H3/Amdz3mz59vakSj3n0aekx10vNZ1JKe1X1jnFhlUw9J/1waazvrEMhGgRL//g9hx9lZslEizeqsX6UmTpxo3bt3jzkJksaQDHc/Hzt2rOumnVfQTGM1fvjhh27WdE+hLuPqgh1OJ598smtlqS8OTUCkoFZeScHVcNAy/MWhloDq2pw76YtGAdtnn30296bgc5cuXVyg1Y8TqlaRCnj61qHBjqEF7asvMv8lkGz5NaGSAr8+vfnmm27yJXVtVwtb3zVfs86rq7e+kPTlr8mZJk+e7A8L3jXzfaNGjYJtau2qwLSSAsm6Xj7pi813r99tt92C7vEK7iqgqjRy5Eg7/fTT3fIRRxwRTAjlVuT6Q8FwTZalsXB2ZtKvrv5monLlyq7+akmsgLUcdR21jyax0t8VDYkQDiLvzLJyLgQQQAABBApDYNGiRe7+SvdM4R+WCyNv8kAAAQR2poCePdWQI15Sa0n/3BJvv+LYpoCgnj/1bKX/jxs3bmx6JlMjHHVx1/O1Gq3oXSESPSvt7OelZFzq1KmTZxBX+WjOjXPPPTeZLNkXgYwXoAt8xl/i/1RQwTv94qVu4+Hu5wo09e7d2wWmFLwLp7POOss6deoUrNK+/hc9tVScMGGCqSWm/vMNpz333NONwRkOfoa3x1vWF9KIESPshhtucMHK8C9zOs99991nb731lvngp/KqWbOmvf/++3bppZeavthyp27durm6++CntidTfv3yp7FTfRo4cKALfuqzyqFApG/NqC7/arWqpHWvv/66HXXUUcGXk8YkVbBWLRybN2/u9sv9h7r0K9Dsk24i1OJUQVGNberT6NGj/WJavCvgq8C8/n5oIHG16tXfoVdeecXGjx/vWiIr+KlgvILBBD/T4rJSSAQQQAABBBBAAAEEIi+g4cz0rKbnDTUKUjBXQV09i6hxy2effeaCn9qmQGiUg5+Rx6aACERUgBagEb0w+RUrVgvQ/I7x29WNWt2MNRbKPvvs434d8ttivWuSI/2at++++8YMMOoYja2i1nv6Fc3/shYrr2TXadDp2bNnu3Iq0JlfUt18efWr197/ngAqkRYXRVV+X17VQ+YK6iVSHh2nMUJlqjFL99prL59Vgd+LqwVouOC68VBXFLXa1TVT4FsBYdWzevXq4V1ZRgABBBBAIG0FaAGatpeOgiOAQC4BTSakIGK8pF5m6TBjuhoEqUeaeqKpwY0anKgVqMquLu/pkNS6M95QYWp4k7uhUjrUizIiUJQCjAFalLoRzVv/GbZs2TLh0qn1oV7xkroy+4mR4u2X7DaNH+knO0rkWNVNQV29kklFVX5fBtUj2cl8FAjM1GCgvqz1UutajSWkAGh4si7vxjsCCCCAAAIIIIAAAggUv4Aal+gVL+mePh2S7/KeDmXNq4xqJFOjRo28NrMeAQRiCNAFPgYKqxDIZAENY+C77GdyPakbAggggAACCCCAAAIIIIAAAgggIAFagPL3AIEsE1C3+qh0h9AQBeoCT0A2y/4SUl0EEEAAAQQQQACBjBMYMmRIMGdExlUuYhWKNfdFxIpIcRCInAAB0MhdEgqEQNEJaBxSDfT997//vehOkkTOTZs2TWJvdkUAAQQQQAABBBBAAIGoChCUi+qVoVwIICABAqBp/vdAAzZrMiMSAvEE1q1b52Zc1wz19erVsyuuuCLe7mxDAAEEEEAAAQQQQAABBBBAAAEEMkaAAGiaX8qDDz7YfvzxxzSvBcXfWQKdOnWykSNHGr/O7ixxzoMAAggggAACCCCAAAIIIIAAAsUtQAC0uK9AAc8/dOhQxlkpoGE2HF6uXDlr1aqVtWjRIhuqSx0RQAABBBBAAAEEEEAAAQQQQACBQIAAaECRngsnnHCCVa9ePT0LT6kRQAABBBBAAAEEEEAAAQQQQAABBBAoYoGSRZw/2SOAAAIIIIAAAggggAACCCCAAAIIIIAAAsUmQAC02Og5MQIIIIAAAggggAACCCCAAAIIIIAAAggUtQAB0KIWJn8EEEAAAQQQQAABBBBAAAEEEEAAAQQQKDYBAqDFRs+JEUAAAQQQQAABBBBAAAEEEEAAAQQQQKCoBZgEqaiFI5b/jBkz7JNPPrHly5cze3xErk3p0qWtXr161rFjR6tfv35ESkUxEEAAAQQQQAABBBBAAAEEEEAAgcwQIACaGdcx31ps377dRo4cadOmTbO99trLmjVrZqVKlbISJUrkeyw7FK3Axo0bbe7cufb555/biSee6AKhRXvG6OS+efNm099NpV122SU6BaMkCCCAAAIIIIAAAggggAACCCCQMQIEQDPmUsavyPvvv++CnwMGDLAOHTrE35mtO11g69at9uKLL9qYMWNca9B99tlnp5ehOE747rvv2oYNG1wwvmfPnsVRBM6JAAIIIIAAAggggAACCCCAAAIZLsAYoBl+gX31FGhq3bo1wU8PErF3tcbt16+f1axZ0957772IlY7iIIAAAggggAACCCCAAAIIIIAAAukrQAvQ9L12CZd87dq1tmbNGmvRokXCx7DjzhdQEHTfffe12bNn7/yTc0YEEEAAAQQQQAABBBBAIAWBKVOm2Pjx41M4cuccUrVqVfvrX/+6c07GWRBAILICBEAje2kKr2AaZ1GpbNmyhZcpORWJQLly5WzTpk1FkjeZIoAAAggggAACCCCAAAKFLTBz5kx7+OGHCzvbQstPc2AQAC00TjJCIG0FCICm7aWj4Aikt4AmP9LYp1u2bHEV0Wcm5Urva0rpEUAAAQQQQAABBBAoiIAa7VSqVMk0Uey6deuCCVMLkifHIoAAAhIgAMrfAyegVoerVq0KNHbfffeUg1FLliyxBQsW2O+//+4CXOpysNtuu1mTJk3ynOn7t99+s0WLFgXnDy8oKFa6dGnbddddTeUqU6ZMeLMtX77cvXKszOdDnTp1rHr16jvspYDcihUr7JdffnEvnXePPfaw2rVru/0J0O1AlvSKlStXum7+P/30k7ux8RmMHDnS9Ovsfvvt566zX887AggggAACCCCAAAIIREfgm2++sREjRgQF+vrrr4PlVBb0vHjYYYe554Bq1aoFWaihxLx58+zzzz+3OXPmBOuTXVi9erVdddVVwWGNGjWys88+O/jMAgIIZIcAAdBc11lBmRtuuCHX2v98VDCsYsWKpv+gDz30UPfaZZddcuz7wAMP2IwZM3Ks8x8qVKjgjtcM30cffbSb7dtvK+73H3/80e6///6gGHfdddcOgcZgYx4LP/zwgz333HMucBhrF9X/yCOPtG7durlZv8P7KGD6xBNPhFfFXFYehxxyiB133HFBHtOmTbMJEybE3D+vlSeeeKIrS3j7t99+a6NGjTJ9QcZKe++9t5166qkuGBprO+viC+gGZurUqfbdd9+5HRVMVmBc3f71C6/c58+f714NGjRwN0G5/33FPwNbEUAAAQQQQAABBBBAoKgFdN+uZzCf1IAk1dSpUyfr3Lmza/CiPPSsrWc+DeOmeSw0R4Jeel59/vnnTQ1nkk1q7BMurxq9kBBAIPsECIDmuuYKxMydOzfX2h0/Tpw40fTr1IMPPmh169YNdlDrx/yO/+ijj9wvZieffLJddNFFwbHpvPD+++/b2LFj43ZR+OOPP+zNN9+0ZcuW2emnn24lS5ZMusrKQzPaa2In5VEYSV2vX3jhBdPg3fGSvnRvvfVW69Onjx1xxBHxdmVbLgHdwOja6+aofPnydtBBB5l+eQ0HOLWPAuHTp09377qx6tGjhwuQ5sqOjwgggAACCCCAAAIIIJDmAnoePvDAA13DlpYtW7pAp4KfPm3bts31Evziiy/cKj07P/roo0n3/vP58Y4AAtktQAA0zvXXQM7hAI0CZRs2bHDddx977DHXYu3vf/+7+09YQZ1wOvbYY61fv37hVW6sQ/1i9eyzz9qXX37pgm5qDaogTzontZwMBz9lphayCgxrZnN1V9BLY7go6QtM9e7YsWPMauuYE044wW2TuV5//vmn+9XO/7qoX/C6du3quqc3a9Ysx3XSgdqubuxK9erVc1+s7sN//1ALQ58+/vjjHMFPtfJVFwyVX78WKvCplotqwajXmDFjTMeHA98+L/8+evRoF+jV5/PPP3+H8vn9suVdAXJdu1q1atlRRx3lgqC5666hDZo2bWpqafvOO+/Yzz//7N6POeaYlILlufPnMwIIIIAAAggggAACCCQmcO+99wbPb7mPWLx4cfCspW1qpJJs0jOBgp969lLvyHDXd5+XGszUr1/fDZOl5zE9d55xxhmmXpd6Pkw06RnOPxvqGD2P3nTTTXkermdRtTolIYBAZgkQAI1zPRs2bBhz5vQWLVq4FmznnHOOLVy40DTrnbplh5P+A1cLt1ipbdu2NnToUBd0GzduXFoHQNV9QGM3KkippDE6FfCrWbNmUPXWrVu78UX/9a9/uQCyNkyePDluADRWC0t1nZeb/4LVeDAan1PXSa9w0nXxX3LaR1+wsdL69etN18AnfcGed955VrlyZb/KdL3at2/vWvuq5anq+uKLL9rgwYPzHCdVQymoDErZ3sVCAWRZyFQ3NxrYPF7Sdl1rXRddQ11nBUZJCCCAAAIIIIAAAgggsHMEND+Eb8CS+4x6Jgo/46ilZjJJz4pH/ntoNA0x1717d9ftPd7xCoSqgY0aIyl16dLFXn/99XiH7LAtXF71+gzPf5F7Z/VMIyGAQOYJJN8HOfMMUqqRAjKasEVp9uzZSeWh/8DVelFJ4yHqP+B0TWrZqcmOfFI3hnDw06/XWI8nnXSSG9hawS21kA1/Cfn94r2rZWh44qJYvxLGOz7WNg1HoCCoksakPOWUU3IEP/0xau3Zs2dP/9F10fZjWQYrWYgpoNbOSh06dMg3+Okz0M2QWuEq+eP9Nt4RQAABBBBAAAEEEEAgfQUU/NQzcatWrfINfvpa6llNQVA9J6jxUbirvN+HdwQQQCCeAAHQeDr5bFNrRyXfIjGf3XNs9sf6btU5NqbRh3BwSl3NGzdunGfp1ZJy0KBB1qtXL9eCVgHNRJN+VdTYkH6meH3xFUarQN9KVOVQNwe1Fs0r6YtWM9H7FD7Wr+M9p4B+Hf7111+tSpUqcYcMyHnUfz6pu7xe+uVZM8eTEEAAAQQQQAABBBBAIL0FFPjUc5d/T6Y2GnZOvSz1HKlh0EgIIIBAMgJ0gU9GK7SvgjJ+sqPweJKhXeIuKpinpABPOKgW96AIblRwyycf1PWfU31Xl4NbbrnFHa7u5gp+qpWmgmlKmjX87LPPTrg1oTsojz+WL18ebMmv/PqSVutW32LUH6vyvvXWW0E+WtCMhT5NmjTJNL6lT5oAqE6dOv5jRr/7MVvjjZcaD2DPPfd0g5wrnxo1asTblW0IIIAAAggggAACCCAQcQH16FMgU89e4WekRIut5wONBarnC/9Mneix7IcAAtktQAA0heuvMQ01KLQCchrXUE3xE00Klo0fP96efvppd4i6gsdLmgxGEyflTsmOs5L7+ML6HA70xeqS/tJLL7nJbGKdT5PbxBonVUHPJUuWxDrErVMAMV5L0zwPjLHBBzG1Kdy9PsaubpW68uv6K/ngnlrx6prmld5+++0cm2rXrp01AVDfOjrVIL8GRVfy+eSA5AMCCCCAAAIIIIAAAgiklUClSpVceVN9PvDH+XzSqvIUFgEEilWAAGgcfk3mo7FGfFKgSy0efUtENb3XRDhVq1b1uwTvb7zxhn366afBZy1orEwd78e+VBfu0047Lcc+uT/oFy4F3XInzXr3ww8/5F690z+Hf7WLNROfJgNasGBBzHIdfvjhMddrZXgSIrlrNna9K2nWduX7f//3f0l3q3YZhP7QjPXKWymRwa79vtpfx5LiC2ioAiV/7eLvveNW/28lmeESdsyFNQgggAACCCCAAAIIIBAFAf9c4O/zky2TPy6RZ7dk82Z/BBDIbAECoHGu7/z582NuVUCyefPm9pe//MU07mWspJaR4daRfh8FzdRcv0+fPta7d283iLPfFus9r7FNNCZiFAKgCv4uW7bMFT3cHT5WXRJdJ6Obbropx+6+VegzzzzjWoeqhejjjz9uV199tRsDJsfOSXzwY0zqkHgzAfosw3VUS04llbdfv35+F/euVp+rV692y8cff3yO7h1+8qwcB2ToB/8Lbax/C4lU2Rv6lqCJHMM+CCCAAAIIIIAAAgggEE0B/1zg35MtpT8uVi/JZPNifwQQyC4BAqBxrvdjjz2Wo5WfWjtqDMiyZcvGOeo/m3r06GGaET2cFCyM1U08vE+6LdevXz8YC3XhwoVuRvuwj1rIKnjp06WXXuoXk3pXS1wfOH7ggQfcsQoC//zzz1aQgKICoL6Fqu/a7gumsT410/uBBx7oWgKr5a/v9q59/Jihap14xBFH+MPc+2effRYEQDX7uca5ycakILHGTl28eLFrBepbhCZioWEe9HdKKd7kVInkxT4IIIAAAggggAACCCBQ/ALqFemHIVMQU5OlJpP8M9u8efOSOYx9EUAAAWMW+Dh/Cfbee2/bZ599gpcCcOHgXpxDXbf48LFazrTgp+rfunXrgEEBw3fffTf4rAUFLhUA868cG1P4kNt/w4YNKeTyv0PCE1hphvlZs2YFG99//3174okn7Pbbb3dB3okTJ+boyl2QwGtwkgxf0I8G+nekoQO+/vrrpGqrwc019qeGgahQoUJSx7IzAggggAACCCCAAAIIRFPgyy+/dAX74osvkirg0qVLXW9AtQL1gdCkMmBnBBDIagECoFl9+QteebXM22+//YKMJkyYYJq4KdzqUxvVvfypp54K9ktlQWOMhicUUlBVLVALkg4++GAXYPN5PPfcc+aHPlDQTS03FRhVq9MPPvjA72bt2rXLmomMgkqnuKAguQLhmqXxl19+SSgXte71Y+i2bds2oWPYCQEEEEAAAQQQQAABBKIvMGXKFDevhnriqdFDIkkNI9577z2366RJkywqkwInUnb2QQCBaAjQBT4a1yFypRg2bJhrtZlXwU466STzY2CecsopdvPNN7vWevoieuWVV2zy5MlufFS12FT3Z43ZmftLKjyBUvg8GtD6vvvuC1YpmKp16ioRnmhJ47AWdCIiBVFVl7vvvtudT10ydO4mTZq4rvX777+/TZs2LSiLFsqVK+fGb82xMtcHjd3qZ5XP9gl81K3l0EMPdX8nFCDX5FeNGjXKJfa/j+r2rta3GuBcwc8aNWr8byNLCCCAAAIIIIAAAgggUOQCRx55pBveLNaJFLTUUGE+6XlNAcpEk57tRo0aZeecc457RtAz3gEHHJDn86caR6ghjHocqvWob0Ga6Pn0zBeeZFc9O4866qg8D/dDneW5AxsQQCAtBQiApuVlK/pC+1aQeZ0p3PVcAa7LLrvMNGaqnxBJX1J6xUqaGEeTQCmAGSvpCzS/MV30paRZ4AsjqRu8vnxfeOEF90ukArX6Us/r10jVXftqnNe8xqbs2bNnYRQtY/JQQFjd4DU2qoKbc+bMcUFmjcGqgPLGjRvd+Kq67r6VqMZe1Y0QCQEEEEAAAQQQQAABBHauQKdOnfI8oYKJr7/+erBd9/LJJnVhVxBU82aoK7yeA/TMoOcr9cRTkFS9CNVK1E/+O3PmTHvppZeSPZULrIYDoJrIuHv37knnwwEIIJDeAgRA0/v6Rab0ag06ZMgQmzp1qn388cdBEMsXUK0h9UubWlYecsghSbXc1C92akWpFqMKfKpLdZs2bQp1XEgF2ho3bmzjxo1zgU992fpu/Jq4R+NQahKrr776yq3Xu8a0VJ0ZC9Rf5fjvLVu2dK05P/nkE9ea1w9+nvso3Zzo74huTEgIIIAAAggggAACCCCQmQJqFKGeh7169XI9xNRYIlZat26dawHqh8iKtQ/rEEAAgfwECIDmJ5Ql2xWYvP/++wtUW3V31y+FeqkLxOrVq02tJevUqZNvsPKggw4q8PnDhVeLzmSTfmns37+/O0ytFdWaVYFXBV19N3b9+vjss8+6bQrQEfxMTlm/6Kr1r1p5qqv7ihUrXOtPBbdr1qzpgp4KNivoTUIAAQQQQAABBBBAAIHoCejZcejQoUHB1Bp05MiRwedkFtQo4vHHH3cNTjS3hJ4dK1as6HqP6XlSXe3VM08tQlNN6rEYLm8mTk6cqg3HIZBNAgRAc11ttQL86KOPcq1N/OO//vWvxHfO4D0VTNQrXZPGFo0V3Nxnn33sqquushkzZthuu+2WrtUr1nJrQiQFQvWaOHGia1GrALPGCSUhgAACCCCAAAIIIIBAtAU0Rn/nzp2DQuY1dFiwQwILmjNCr6JIGnIrXN6iOAd5IoBA9AUIgEb/GhVaCX2X7kLLMEszUrBO3fCLKilASEIAAQQQQAABBBBAAAEEEEAAAQQQKBwBAqCF4xjpXDTpkJK6EJCiLaBrpC4fJAQQQAABBBBAAAEEEEAgHQT69u0b6d5c6t1HQgABBAiAZsHfAY3N2bBhQ5s8ebJ16NDBNKkPKXoCmnhJMxseccQR0SscJUIAAQQQQAABBBBAAAEEYgjUqlXL9CIhgAACURZgppEoX51CLFvv3r3dxD3Dhw9374WYNVkVUEBDE8ybN88eeOAB0/g0Xbt2LWCOHI4AAggggAACCCCAAAIIIIAAAggg4AVoCuglMvxdk/ece+65bgbzG2+80cqXLx/MbJ7hVY989TZu3OhmNdSMh+edd575IQsiX3AKiAACCCCAAAIIIIAAAggggAACCKSBAAHQNLhIhVXE/fff366//nqbNWuWLV++3LZt21ZYWZNPAQTKlCnjZpxv2rSplSxJo+wCUHIoAggggAACCCCAAAIIIIAAAgggsIMAAdAdSDJ7hcYDLcoZzDNbj9ohgAACCCCAAAIIIIAAAggggAACCKSbAM3N0u2KUV4EEEAAAQQQQAABBBBAAAEEEEAAAQQQSFiAAGjCVOyIAAIIIIAAAggggAACCCCAAAIIIIAAAukmQAA03a4Y5UUAAQQQQAABBBBAAAEEEEAAAQQQQACBhAUYAzRhKnZEAIHCFujcubNt3769sLMlPwQQQAABBBBAAAEEEEAAAQQQQCAQIAAaULCAAAJe4OOPP7YXXnjBfvjhB9uyZYtfXWTvJUqUKLK8lXHJkiWtXr161rdvXzvyyCOL9FxkjgACCCCAAAIIIIBApgl899139vTTT9ucOXNs06ZNRV69on4+UP677767HXPMMdanTx/3vFDkleIECCBQrAIEQIuVn5MjED2Bq6++2h5++GHba6+9rEWLFlamTJm0vyFQEPezzz5zQd0BAwbYPffck/Z1it7fHEqEAAIIIIAAAgggkIkCTz31lP3973+3KlWqWNu2bW233XazUqVKpXVVt23bZgsWLLC//OUvNmLECHv22WetYsWKaV0nCo8AAvEFCIDG92ErAlkloJsbBT+vueYau+iiizIuSPjEE0/YlVdeaQ0aNLDBgwdn1bWlsggggAACCCCAAAIIJCugnmF/+9vfTI0Ibr31VitXrlyyWUR6/3feecfOOussu+KKK9xzUKQLS+EQQKBAAkyCVCA+DkYgswTuvvtuO+644+ySSy7JuOCnrpRubk4//XR74IEHbPPmzZl18agNAggggAACCCCAAAKFLHDvvfdakyZN7K677sq44KeounTp4hp/jB071hYuXFjIemSHAAJREiAAGqWrQVkQKEaBn3/+2fTq3bt3MZai6E+tAO9vv/1m8+bNK/qTcQYEEEAAAQQQQAABBNJYYNq0adarV6+07/Ie7xLo+UDp888/j7cb2xBAIM0FCICm+QWk+AgUlsD69etdVhrbJ5NT1apVXfV8fTO5rtQNAQQQQAABBBBAAIGCCOieuXLlygXJIvLHVqtWzZWR54PIXyoKiECBBAiAFoiPgxHIHIGinmkxc6SoCQIIIIAAAggggAACCCCAAAIIpJMAAdB0ulqUFQEEEEAAAQQQQAABBBBAAAEEEEAAAQSSEmAW+KS42BkBBLzAhg0bbM6cObZixQpr2bKl1alTx29K+j2VvFI5JumCcQACCCCAAAIIIIAAAggkLLBkyRKbNWuW1apVy/bbbz8rW7ZswsfmteO6dets/PjxbvM+++xjbdq02WHX1atX77AuvKJSpUpWujThj7AJywhkmwD/A2TbFae+CBSCwPDhw+2GG27IMZN6q1at7IknnrA999wzqTOkklcqxyRVKHZGAAEEEEAAAQQQQACBhAUWLVpkZ555ps2cOTM4pkyZMu6Z4ZxzzgnWpbJw3XXX2YgRI9yhp5xyyg4B0MWLF9tBBx0UN+tXXnnFDj300Lj7sBEBBDJbgC7wmX19qR0ChS5wxx132DXXXJMj+KmTTJ8+3bp27Wpr1qxJ+Jyp5JXKMQkXiB0RQAABBBBAAAEEEEAgKQG1vtRzQDj4qQw2b95sV111ld19991J5Rfe+Z133gmCn+H14WW1OCUhgAAC+QkQAM1PiO0IIBAIqPvJQw89FHy+6KKL7JFHHrFGjRq5dStXrrSnn3462B5vIZW8UjkmXhnYhgACCCCAAAIIIIAAAgUTePLJJ23VqlUukyZNmrjng0GDBgWZPvjgg5bKDOtqWHHppZcG+eS18NVXXwWb1PW+QYMGO7zKly8f7MMCAghkpwBd4LPzulNrBFISGDVqlP3+++/u2A4dOpi6oyhpTJ0BAwa45UcffdQuuOACU5eXeCmVvFI5Jl4Z2IYAAggggAACCCCAAAKpC2zatMkef/zxIIPbbrvNdTXv06ePffrpp66XmAKZzz//vJ199tnBfoksXHnllbZs2bJ8dw23ANWziJ5TSAgggEBuAVqA5hbhMwII5CnwwQcfBNu6desWLKvLy6677uo+6ybl22+/DbbltZBKXqkck9f5WY8AAggggAACCCCAAAIFE/jmm29s+fLlLhM9D4TH2ezdu3eQ+fvvvx8sJ7Iwbtw4Gzt2rNs1vzkGwgFQTbxEQgABBGIJEACNpcI6BBCIKRD+BXbvvffOsU+9evWCz0uXLg2W81pIJa9Ujsnr/KxHAAEEEEAAAQQQQACBggmE7/vr16+fI7Nknw/8wQqoDhkyxH1s2rSphbvT+338+2+//WaagEmpQoUKdu+991r37t2tc+fOdtlll9m8efP8rrwjgECWCxAAzfK/AFQfgWQEwjc4vsWnPz78ORyo9Ntzv6eSVyrH5D4vnxFAAAEEEEAAAQQQQKBwBML3/eHnAeUe/hzeL78zX3755W5M0VKlStmwYcOsbNmyeR4Sbv35xx9/2AMPPGBffPGFff311/bMM89Yly5d7KWXXsrzeDYggED2CBAAzZ5rTU0RKJDA1q1bbcWKFUEeuW9Ewp/DgcrggNBCKnmlckzolCwigAACCCCAAAIIIIBAIQuE7/vDzwM6TfizWnVu27Yt37M/99xzNnHiRLff4MGD7YADDoh7jAKd4dSqVSs7+uijTcFTpT///NO1BPWtRMP7sowAAtklQAA0u643tUUgZYESJUrEPXb79u3B9pIl4//XkkpeqRwTFIgFBBBAAAEEEEAAAQQQKHSBePfo4ecD7RdvXxVs8eLFNnToUFfG5s2b2xVXXJFvebXfueee61p6PvHEEy54qpafM2bMsLp167rjFQS966678s2LHRBAILMFmAU+s68vtUOg0AQU1KxZs2YwE6NmfAynDRs2BB9r164dLMdaSCWvVI6JdW7WIYAAAggggAACCCCAQOEI7L777kFG8Z4PtF+8AKiCpRdffLGtW7fOtd5UwFLrlOeWLVuCc6gVqdaphadehx9+uHsFO/x3Qc8jxxxzjGlWeKXcLUX/uxtvCCCQRQLxm2llEQRVRQCB/AUUAPVp7dq1ftG962bFp/CNkF+X+z2VvFI5Jvd5+YwAAggggAACCCCAAAKFI1BY9+erV6+2yZMnu0Jp6Ct1Y9fs73pdddVVQWGff/55t+6iiy4K1uW10LFjx2DTwoULg2UWEEAgOwVoAZqd151aI5CSQK1atYLjwjcR+iU2/Dm/FqDKJJW8UjkmKDALCCCAAAIIIIAAAgggUKgC4fvzn376ybXa9C09f/jhh+BciTwfBDsnsfDpp5/akiVLTGOR9urVy/baa6/g6HADjTp16gTrWUAAgewUoAVodl53ao1ASgJHHXVUcNyYMWPcDY5WvPXWW7Zx40a3rV69etasWbNgv/Xr15sGHddLg5/7lEpeqRzjz8c7AggggAACCCCAAAIIFK5Ay5Ytg4YNuu8fP368O4G6r7/++uvBybp16xYsx3o+KFOmjHXq1Cnmq0mTJsGxCqRqP439qXT99dfb+eefb9ddd53dc889wX5aCJ9fkyOREEAguwVoAZrd15/aI5CUQP/+/e2mm25yY/PMmjXLNDNjixYtbNiwYUE+5513XjDrola+8cYbduGFF7rt7du3t3HjxrnlVPJK5Rh3Mv5AAAEEEEAAAQQQQACBQhdQ4HLgwIF22223ubyvvvpq+/nnn23mzJnupZXqJt+3b9/g3LGeDypVqmSjR48O9gkvPPXUUzZkyBC3qnPnznbvvfcGm3v37m2ff/65+zxq1Cj3rnFBn3766aBLvcYKveSSS4JjWEAAgewUIACandedWiOQkkDFihXdzYd+YVXyNxk+M3U5OfXUU/3HuO+p5JXKMXELwUYEEEAAAQQQQAABBBAokIACoC+++KKpy7t6fYXH7FTGl19+uZUtW7ZA58jrYM0A//bbb9sHH3zgJksaMWKE6eVT6dKl3QzwDRo08Kt4RwCBLBWgC3yWXniqjUCqAhdccIGbTTE83o9maO/atau7+VCQMtGUSl6pHJNoedgPAQQQQAABBBBAAAEEkhNQC89Jkya5iYsUcPSpWrVqNnz4cDvnnHP8qkJ/V+tOtfb861//ahUqVAjy1zik++67rwvMDhgwIFjPAgIIZK9AiX+PzbE9e6ufvjVfuXKlTZw40bp3727Vq1dP34pQ8sgIzJs3zzp06GAa2zM8Y2K8Ai5evNiWLVvmbi7CNxzxjslrWyp5pXKMuuMoWPvmm29a27Zt8yoO6xFAAAEEECiwgFpCffjhh9anT58cD+YFzpgMEEAAgZ0koDE31ftr0KBBCZ1xw4YNNmfOHKtRo4ZpboCdmbZs2eImZl21apV7Pkm0YcbmzZttjz32sDvvvNNOP/30nVlkzoUAAjtR4H8/z+zEk3IqBBCInoCfrVEzuiea6tata3oVRkolr1SOKYyykgcCCCCAAAIIIIAAAtkgoGeEZNpMlStXzoprwiG1Pm3YsKF7JXNtkqlfMvmyLwIIREuALvDRuh6UBoFiE6hcubI7t1oXZ3JSi1UldckhIYAAAggggAACCCCAQN4CVapUsRUrVuS9QwZs8c8HVatWzYDaUAUEEMhLgABoXjKsRyDLBDSmZ7NmzeyZZ55J6lfedGMaOXKk1alTJ+lfhtOtnpQXAQQQQAABBBBAAIGCCmhorLFjx9r69esLmlVkj9fzj1qPHnLIIZEtIwVDAIGCCxAALbghOSCQMQL/+Mc/bOrUqXbJJZfYmjVrMqZeqsi6devcjJQTJkww1dN3+c+oSlIZBBBAAAEEEEAAAQQKUeCKK64wjal56qmnuhneCzHrYs9KY39qkqa7777bzjvvPAtP8lrshaMACCBQ6AKMAVropGSIQPoKaFKtO+64w4YOHWovvfSS7bPPPlamTJn0rdB/S66bm4ULF9rWrVvdIO4nn3xy2teJCiCAAAIIIIAAAgggUNQCTZo0sREjRtj5559vrVu3tgYNGpjG+Uz3pOcCTaiqRhKa+Ojaa69N9ypRfgQQyEeAAGg+QGxGINsEzjjjDOvWrZu9/PLLtmDBAhc0THeDkiVLmoKevXv3tvr166d7dSg/AggggAACCCCAAAI7TaBTp072+eefu+eD2bNnmxoXpHvS80HPnj3tmGOOsZYtW6Z7dSg/AggkIEAANAEkdkEg2wQ0RuYFF1yQbdWmvggggAACCCCAAAIIIBBDQBOmqqEECQEEEEhXAQKg6XrlKDcCGSDwySef2KZNm0y/wB522GEZUCOqgAACCCCAAAL/v707gbGjrh8A/ttuaemBtnK0IFWLRbBQIAYEI1IpmIqiEYVoE41KwCtRI8YbLyIEIWKAEAHxvqqSgFbFiEqJEuQwVQggltMDbENpQY6FHvt/3/nn1e3bt3373s57+2bmM0m77835+31+352Z/c5vZggQIECAAAECBPpNQAK031pEeQhUSOCxxx5LQ0NDaXBwsEK1VlUCBAgQIECAAAECBAgQIECglwLeAt9LbdsiQIAAAQIECBAgQIAAAQIECBAgQKCnAhKgPeW2MQIECBAgQIAAAQIECBAgQIAAAQIEeikgAdpLbdsiQIAAAQIECBAgQIAAAQIECBAgQKCnAhKgPeW2MQIECBAgQIAAAQIECBAgQIAAAQIEeikgAdpLbdsiQIAAAQIECBAgQIAAAQIECBAgQKCnAhKgPeW2MQIECBAgQIAAAQIECBAgQIAAAQIEeikgAdpLbdsiQIAAAQIECBAgQIAAAQIECBAgQKCnAhKgPeW2MQIECBAgQIAAAQIECBAgQIAAAQIEeikgAdpLbdsiQIAAAQIECBAgQIAAAQIECBAgQKCnAlN7ujUbI0CAwAiBBQsWpGeffTZNmeJazAgWHwkQIECAAAECBAgQIECAAIEcBSRAc8S0KgIE2hNYvHhxewuYmwABAgQIECBAgAABAgQIECDQpoBuV22CmZ0AAQIECBAgQIAAAQIECBAgQIAAgeIISIAWp62UlAABAgQIECBAgAABAgQIECBAgACBNgUkQNsEMzsBAgQIECBAgAABAgQIECBAgAABAsURkAAtTlspKQECBAgQIECAAAECBAgQIECAAAECbQpIgLYJZnYCBAgQIECAAAECBAgQIECAAAECBIojIAFanLZSUgIECBAgQIAAAQIECBAgQIAAAQIE2hSQAG0TzOwECBAgQIAAAQIECBAgQIAAAQIECBRHQAK0OG2lpAQIECBAgAABAgQIECBAgAABAgQItCkgAdommNkJECBAgAABAgQIECBAgAABAgQIECiOwNTiFFVJCRAom8C2bdu2V2nKFNdjtmP4QIAAAQIECBAgQIAAAQIECOQmIAGaG6UVESDQrsC1116bhoaG0uDgYDrxxBPbXdz8BAgQIECAAAECBAgQIECAAIGWArpctSQyAwECBAgQIECAAAECBAgQIECAAAECRRWQAC1qyyk3AQIECBAgQIAAAQIECBAgQIAAAQItBSRAWxKZgQABAgQIECBAgAABAgQIECBAgACBogpIgBa15ZSbAAECBAgQIECAAAECBAgQIECAAIGWAhKgLYnMQIAAAQIECBAgQIAAAQIECBAgQIBAUQUkQIvacspNgAABAgQIECBAgAABAgQIECBAgEBLAQnQlkRmIECAAAECBAgQIECAAAECBAgQIECgqAISoEVtOeUmQIAAAQIECBAgQIAAAQIECBAgQKClgARoSyIzECBAgAABAgQIECBAgAABAgQIECBQVAEJ0KK2nHITIECAAAECBAgQIECAAAECBAgQINBSYGrLOcxAgACBLgksWbIkbd26NQ0MDHRpC1ZLgAABAgQIECBAgAABAgQIVF1AArTqEaD+BCZRYJ999pnErds0AQIECBAgQIAAAQIECBAgUAUBt8BXoZXVkQABAgQIECBAgAABAgQIECBAgEBFBSRAK9rwqk2AAAECBAgQIECAAAECBAgQIECgCgISoFVoZXUkQIAAAQIECBAgQIAAAQIECBAgUFEBCdCKNrxqEyBAgAABAgQIECBAgAABAgQIEKiCgARoFVpZHQkQIECAAAECBAgQIECAAAECBAhUVEACtKINr9oECBAgQIAAAQIECBAgQIAAAQIEqiAgAVqFVlZHAgQIECBAgAABAgQIECBAgAABAhUVkACtaMOrNgECBAgQIECAAAECBAgQIECAAIEqCEiAVqGV1ZEAAQIECBAgQIAAAQIECBAgQIBARQWmVrTeqk2AQB8IbNiwIW3bti0NDAykPfbYow9KpAgECBAgQIAAAQIECBAgQIBA2QQkQMvWoupDoEACt956axoaGkqDg4PpxBNPLFDJFZUAAQIECBAgQIAAAQIECBAoioBb4IvSUspJgAABAgQIECBAgAABAgQIECBAgEDbAhKgbZNZgAABAgQIECBAgAABAgQIECBAgACBoghIgBalpZSTAAECBAgQIECAAAECBAgQIECAAIG2BSRA2yazAAECBAgQIECAAAECBAgQIECAAAECRRGQAC1KSyknAQIECBAgQIAAAQIECBAgQIAAAQJtC0iAtk1mAQIECBAgQIAAAQIECBAgQIAAAQIEiiIgAVqUllJOAgQIECBAgAABAgQIECBAgAABAgTaFpAAbZvMAgQIECBAgAABAgQIECBAgAABAgQIFEVAArQoLaWcBAgQIECAAAECBAgQIECAAAECBAi0LTC17SUs0FcCd9xxR9p11137qkwKQ2C8Ak888UTasmVLmjJlSrr55pvHu5j5CBAgQIBAU4Hp06enQw89tOm0yRy5Zs2atMsuu0xmEWybAAECBAgQINAXArNnz06LFy/ueVkkQHtOns8G586dm5YsWZIeeOCBNDAwkM9Kx1jL008/nU2ZMWPGGHMYTaAzgcHBwfTMM8+kadOmpXXr1nW2EksRGENgaGgobdu2Lc2cOXOMOYwm0JlAxNWTTz6Z4rg4dapTqc4Uu7NUv/2+77333umAAw5IDz30UNfP17ojaq11gc2bN6c4rsQfbd0+965v008CeQo4L8pT07omQyDOveLvRx3AJkM/323GMXUyhoHh2jAZG7bN4gisXr06SyIsW7asOIVW0kIIbNy4Mf3qV79Kxx9/fJo3b14hyqyQxRH44x//mCWpli9fXpxCK2khBKL3+s9+9rO0dOnStO+++xaizApJgMDEBNauXZvdrbJixYrszpWJrc3SBHovcOONN6ZNmzalE044ofcbt0UCOQisWrUqzZ8/Px1xxBE5rM0qqijgGaBVbHV1JkCAAAECBAgQIECAAAECBAgQIFARAQnQijS0ahIgQIAAAQIECBAgQIAAAQIECBCoooAEaBVbXZ0JECBAgAABAgQIECBAgAABAgQIVERAArQiDa2aBAgQIECAAAECBAgQIECAAAECBKooIAFaxVZXZwIECBAgQIAAAQIECBAgQIAAAQIVEZhakXqq5gQEFi1aNIGlLUpgbIGZM2emww8/PO22225jz2QKgQ4FXvziF6fNmzd3uLTFCIwtMH369GzfNWfOnLFnMoUAgVIJ7Lnnntnv/cDAQKnqpTLVEVi4cGEaGhqqToXVtHQCBx98cIq/Hw0EOhUYGK4NnS5sOQIECBAgQIAAAQIECBAgQIAAAQIECPSzgFvg+7l1lI0AAQIECBAgQIAAAQIECBAgQIAAgQkJSIBOiM/CBAgQIECAAAECBAgQIECAAAECBAj0s4AEaD+3jrIRIECAAAECBAgQIECAAAECBAgQIDAhAQnQCfFZmAABAgQIECBAgAABAgQIECBAgACBfhaQAO3n1lE2AgQIECBAgAABAgQIECBAgAABAgQmJDB1QktbuBQCf/vb39JPf/rT9OCDD6ZZs2alJUuWpGXLlqX99tuv7fpt2LAh/eQnP0n33ntvWrduXdprr73SwoUL01vf+ta05557tr0+CxRL4JlnnklXXnlluvXWW9PGjRvT/vvvnw477LD02te+Ng0ODrZdmTxjs+2NW6DvBPKMB/uqvmveSS1Q3vuukZUZHh5OZ511VvrnP/+Zzj777DRv3ryRk30mQGCSBPI8pkQVrrvuuvSHP/wh/etf/0rbtm1LL3jBC9IrXvGK9JrXvGaSamizZRfIO4ZHeq1ZsyZdcskl6cgjj0ynn376yEk+E8hNIO8YvuGGG9JNN92U7r777jQwMJDlM972trdl++PcCm1FhRYYqJ2YDxe6Bgo/IYFIVl144YXZOmbPnp2effbZ7N+MGTPSueeem172speNe/2rV69O55xzTnr66aezZNfuu++eIsmwdevWFOv7xCc+kY477rhxr8+MxRLYtGlT+sAHPpD9kR8lf97znpceffTRrBLHHHNM+vznP5+mTZs27krlGZvj3qgZ+1Ygz3iwr+rbZp6UguW972qsxMqVK7M/ImP8D3/4w7RgwYLGWXwnQKDHAnkeU+ICysc+9rEUCaMYnvOc52Q/H3/88exnXAg+77zzsnPhbIT/COQgkGcMNxbnv//9b3rXu96V1q9fn44//vjsHL5xHt8JTFQgzxjevHlzuvjii9NVV12VFeu5z31uGhoaSrF/jk44Z555ZhbLEy2z5UsgEAlQQzUFbrvttuFXvepVw7XensPXX3/9cO1q9XAtATpc68E5fPTRRw8fe+yxww8//PC4cGpXu4drV7iz5b7xjW8M13Y42XLx8/LLL8/G1w6gw//4xz/GtT4zFU/gjDPOyNr5ox/96HAtoZBVIOLine98Zzb+/PPPH3el8ozNcW/UjH0rkGc82Ff1bTNPWsHy3Hc1VmLt2rXDr371q7N9YBxXHQMbhXwn0HuBPI8pUfqvfOUr2e/429/+9uFab6btFbrrrruGV6xYkU378pe/vH28DwQmKpB3DDeWp9ZpYftx6wtf+ELjZN8JTFgg7xi+9NJLs5g96aSThv/yl78M1zpgDW/ZsmX429/+djY+8hD/+c9/JlxuKyi+gGeAliCJ3WkVvvOd76RaCKfaCVuKHnrRTXyXXXZJp5xySjr55JNTXEm5+uqrx7X6VatWZT0/4yrhqaeemqZPn54tFz/jtonaH4DZVZiYz1A+gTvvvDPdfPPNWe+GL33pSymuusXw/Oc/P11wwQXZlbdrrrkmxRXl8Qx5xuZ4tmee/hbIMx7sq/q7rXtdurz3XSPLH70O4tb3qVOnttX7feQ6fCZAIH+BPI8pTz31VPr5z3+epkyZkv2+H3DAAdsLfOCBB2aPvYgRv/jFL1LMayCQh0CeMdxYnt/85jfpd7/7XZozZ07jJN8J5CaQZww/+eSTWc/P2A/XEvbp0EMPzfbJ0fOz1hEneyRb9AatdfjKrfxWVFwBCdDitt2ESh4nYZGwimH58uWj1lUfFydstasno6Y3jqjf9lPrUdo4Kfsez4+J4Z577sl++q9cAnFLcQxLly5Nu+66a/a5/l/cCv/yl788e7RCJEFbDXnHZqvtmd7fAnnHg31Vf7d3r0uX576rsey13gjp/vvvTx/84AfTzJkz8IzowwAAExRJREFUGyf7ToDAJAjkfUy5/fbbs0c9xaMt4pn3jUOMi2fgR4eD++67r3Gy7wTaFsg7hkcWoNZDLuu4EB0Yar2XR07ymUBuAnnHcHTYiiRodOA65JBDRpWzdqdPqt2hmA466KBR04yonoAEaPXaPKtx7bac7GQsTtj22WefUQpx1Xq33XZLjz32WKrdsjdqeuOIiy66KP34xz9ORx11VOOk7Hv9WZCuJjblKfzIO+64I6tDPdHdWKFIgMZQu92hcdKo73nH5qgNGFEogbzjwb6qUM3f9cLmue8aWdhbbrkleyFcvADljW9848hJPhMgMIkCeR9T4vwmeoDWHvPTtFbRiSDOpWNwDtyUyMg2BfKO4frm48VdcRdXvMvhs5/97KgODfX5/CQwUYG8YzhevhtD7VFDTYt28MEHpze96U0SoE11qjdSArR6bZ7V+N///nf2c2cnY/Vp8ebaVkPc6h6J1Ga9XOLkr97zz5WXVpLFnN4qntqJpVbrCqF21ldMUaWuC+QdD/ZVdVk/Q6BVfHWyr4lkR7ztPR4F8slPfhI0AQJ9JNDqdz6K2s7vfTw+au7cuWnvvfduWsu4nTheMBr7g+hVZyAwUYG8Y7hennhJ31//+tf0jne8Q6KojuJnVwTyjuFHHnkkK+eiRYvSgw8+mOIOnPe///3ptNNOyy5OjaczV1cqaqV9KTC1L0ulUF0XiG7iMdRP8pptsP4Wy/q8zeYZz7jLLrss1V48kp34vf71rx/PIuYpmEA9RsaKp3ZiqdW6gqad9RWMUnEbBHoZD/ZVDfgV+NoqvjrZ10RPsA0bNmRJ0HgEiIEAgf4RaPU7HyXt5Pe+WQ0feuih9LWvfS2b9J73vCd71n6z+Ywj0I5AN2L47rvvTldccUWKZ9jG298NBLopkHcMr1+/PnvmZzx2KC48xzsn4r0m8T6TiO24EBXjjzvuuG5Wy7oLIqAHaEEaKu9ixrM3Yojb3McaZs+enU2KhwZ3OqxcuTLFv3go8ac//Wm3U3QK2cfLxS0z9RgZK57qsRQvBWk19Co2W5XD9P4Q6FU82Ff1R3v3shR577ui7L/85S+zh+yfcMIJ2csFe1kf2yJAoLVAr44pcREknju3adOm7DnoHoXRum3MMT6BvGO4/sK+eGFM3PoeL+4zEOimQJ4xHOuKf9EbP/a5L3nJS9L3vve97EVeV111VXrd616X/Z167rnnpnXr1nWzWtZdEAEJ0II0VLvF3LhxY/ZLHr/oI//V38I9a9asbJVxW85YQz1ZVX+j+1jzjTX+8ssvT5dcckmW/DzzzDObPpR4rGWNL45AJLdnzJiRFbgeM42lr4+fNm1a46RR33sRm6M2akTfCvQiHuyr+rb5u1qwvPdd0dvrwgsvTPPnz08f/vCHu1p2KydAoDOBXhxT4nbLuP0ybvNcvHhx9nb4zkprKQKjBfKO4fhbrR6zL3zhC0dv0BgCOQvkGcPRyzOGrVu3pnnz5mW3vL/oRS/KEqJ77LFH+tSnPpUOP/zwLAkab543EHCJp6QxEFfw4jkujcNJJ52UXR2JHUIMjz/+eOMs2783Jku3T2jxIXZEcZUluptHwutzn/tc9nbwFouZXGCBiKd4Vmw9ZhqrUh9fP+A1Th/5vZuxOXI7PhdDoJvxYF9VjBjoZinz2nfFifdZZ52VnWCfd955aTz7um7Wy7oJEGgu0M1jSmwxXvZYvwUz/uiOl8rYHzRvC2M7E8gzhm+88cYUveQiVt/ylrd0ViBLEWhTIM8YjucrR74hOnXFi47i1vfG4c1vfnOKFyX9/e9/b5zkewUFJEBL2uixI2jWc7O+U6jveOqJqWYM9eRoPNx9vEOs7zOf+Uxas2ZN9gylSIQuWbJkvIubr6ACEU87S4C2E0vdis2C0la+2N2KB/uqyodWBpDXvuuee+5J8Ub56FUaFyAbh7gNNob3ve992Tzx0zOxG5V8J9B9gW4dU6Lkv//977OEZ1xcW758eZYIdTtx99u0alvIM4avvvrqjO/OO+9MjY9pqN+9df3116c3vOEN2Yu8vv/971eNW327IJBnDEfxYn1xF068kLnZUH8B3cMPP9xssnEVE5AALWmDX3DBBTut2V577ZVNj6RVnKjVE6P1heItto8++mj2h9r+++9fH73Tn5Hk+tCHPpTuvffetO+++6boBbNgwYKdLmNiOQTq8XTfffelo446alSlYnwML33pS0dNaxxRX1eesdm4Dd+LI9CNeLCvKk77d7uk9fjKY98Vz0+LYWcXFusP/o/jroEAgd4L1H/n8z7HWLVqVXbeGzV697vfnU499dTeV84WKyGQZwzHcSv+RbKznvCsIw4PD2cft2zZkh3X6se4+nQ/CXQqkGcMRxlifZEAfeCBB9IrX/nKUcWqX4Teb7/9Rk0zonoCngFavTbPahxXSA488MD0xBNPpJtuummUwnXXXZc9SyPmmTlz5qjpjSPiIBm3/ETyM94geOmll0p+NiKV+Hv9rXq//e1vR9UyXjQSvSJiOOyww0ZNbxyRd2w2rt/3YgnkHQ/2VcVq/26XNq99Vxz3Vq9ePea/OXPmZFWJB/PHfHGbloEAgd4L5H1MiRr86U9/yp47Fy/hiHNhyc/et2uVtphnDJ9zzjljHrfqz7KO42Qct+q9Ratkra7dEcgzhqOE9XO5W265pWmB487UGNyV2pSnciMlQCvX5P+r8IoVK7Iv3/rWt3bosbJ+/fr0ox/9KJt2yimn/G+B2qfoOn7ttddmb1YbOSGufN9+++1ZF/Tzzz8/u01i5HSfyy0QvT7jgdNr165N11xzzQ6V/cEPfpDibajxYPUjjzxyh2k33HBDFk/333//DuM7ic0dVuBLqQQ6iQf7qlKFQNcqk/e+q2sFtWICBHIT6OSYEhtvds4Svea++tWvpri4dtppp3m0RW6tZEU7E+gkhsc6L9rZdkwj0C2BPGM43vS+++67pz//+c/pu9/97g5Fjs5ZK1euzHo6N+sdusPMvlRCwC3wlWjm5pVcunRpdkvyXXfdlZ20HXvssSluc4hefJGwip3EsmXLdlg4Xqx09tlnZzuR+tWWOPmLHp8xPPLIIyletDTWsGjRonTFFVeMNdn4ggpEr4fTTz89e+FVXE2Oh6rHoxMiKR6f4xELH//4x7M38o2sYrwxOU7IYtmFCxdun9RJbG5f2IfSCXQSD/ZVpQuDrlQo731XVwpppQQI5CrQyTElCtDsnOXKK6/Mbr2M6d/85jezf/G52RAvRDr66KObTTKOQFsCncRws/OitjZqZgI5CuQZw/HukzPOOCN98YtfTF//+tezu1uPOOKILC/x61//Onu8Q/TOP+igg3KsgVUVVUACtKgtl0O541kuF198cXblOt7YHj31YojxJ598cnrve9+bPQO01aai997IZ57F23DHGiLBaiinwDHHHJPFUiRA4xEK8S+G6Bn6kY98JB1yyCHjrnhesTnuDZqxrwXyigf7qr5u5kkrXJ77rkmrhA0TIDBugbyOKbHBSCrVh52d/8Y88UggA4E8BPKM4TzKYx0E2hXIO4bjXO6yyy5L8QLm6IBz2223ZUWKzlfx2CEvnmy3hco7/0Dtlo3/f8JxeeuoZuMQiMRkdBGPcIgXF82aNWscS5mFQHOB6EEcLxiIh1LPnz9/XIn05mtKWa9ksTmWTvXG21dVr817WeM89129LLdtESDQmYBjSmduluofATHcP22hJJ0J5B3DTz31VIqXW8bb3+fOndtZoSxVWgEJ0NI2rYoRIECAAAECBAgQIECAAAECBAgQIOAlSGKAAAECBAgQIECAAAECBAgQIECAAIHSCkiAlrZpVYwAAQIECBAgQIAAAQIECBAgQIAAAQlQMUCAAAECBAgQIECAAAECBAgQIECAQGkFJEBL27QqRoAAAQIECBAgQIAAAQIECBAgQICABKgYIECAAAECBAgQIECAAAECBAgQIECgtAISoKVtWhUjQIAAAQIECBAgQIAAAQIECBAgQEACVAwQIECAAAECBAgQIECAAAECBAgQIFBaAQnQ0jatihEgQIAAAQIECBAgQIAAAQIECBAgIAEqBggQIECAAAECBAgQIECAAAECBAgQKK2ABGhpm1bFCBAgQIAAAQIECBAgQIAAAQIECBCQABUDBAgQIECAAAECBAgQIECAAAECBAiUVkACtLRNq2IECBAgQIAAAQIECBAgQIAAAQIECEiAigECBAgQIECAAAECBAgQIECAAAECBEorIAFa2qZVMQIECBAgQIAAAQIECBAgQIAAAQIEJEDFAAECBAgQIECAAAECBAgQIECAAAECpRWQAC1t06oYAQIECBAgQIAAAQIECBAgQIAAAQISoGKAAAECBAgQIECAAAECBAgQIECAAIHSCkiAlrZpVYwAAQIECBAgQIAAAQIECBAgQIAAAQlQMUCAAAECBAgQIECAAAECBAgQIECAQGkFJEBL27QqRoAAAQIECBAgQIAAAQIECBAgQICABKgYIECAAAECBAgQIECAAAECBAgQIECgtAISoKVtWhUjQIAAAQIECBAgQIAAAQIECBAgQEACVAwQIECAAAECBAgQIECAAAECBAgQIFBaAQnQ0jatihEgQIAAAQIECBAgQIAAAQIECBAgIAEqBggQIECAAAECBAgQIECAAAECBAgQKK2ABGhpm1bFCBAgQIAAAQIECBAgQIAAAQIECBCQABUDBAgQIECAAAECBAgQIECAAAECBAiUVkACtLRNq2IECBAgQIAAAQIECBAgQIAAAQIECEiAigECBAgQIECAAAECBAgQIECAAAECBEorIAFa2qZVMQIECBAgQIAAAQIECBAgQIAAAQIEJEDFAAECBAgQIECAAAECBAgQIECAAAECpRWQAC1t06oYAQIECBAgQIAAAQIECBAgQIAAAQISoGKAAAECBAgQIECAAAECBAgQIECAAIHSCkiAlrZpVYwAAQIECBAgQIAAAQIECBAgQIAAAQlQMUCAAAECBAgQIECAAAECBAgQIECAQGkFJEBL27QqRoAAAQIECBAgQIAAAQIECBAgQICABKgYIECAAAECBAgQIECAAAECBAgQIECgtAISoKVtWhUjQIAAAQIECBAgQIAAAQIECBAgQEACVAwQIECAAAECBAgQIECAAAECBAgQIFBaAQnQ0jatihEgQIAAAQIECBAgQIAAAQIECBAgIAEqBggQIECAAAECBAgQIECAAAECBAgQKK2ABGhpm1bFCBAgQIAAAQIECBAgQIAAAQIECBCQABUDBAgQIECAAAECBAgQIECAAAECBAiUVkACtLRNq2IECBAgQIAAAQIECBAgQIAAAQIECEiAigECBAgQIECAAAECBAgQIECAAAECBEorIAFa2qZVMQIECBAgQIAAAQIECBAgQIAAAQIEJEDFAAECBAgQIECAAAECBAgQIECAAAECpRWQAC1t06oYAQIECBAgQIAAAQIECBAgQIAAAQISoGKAAAECBAgQIECAAAECBAgQIECAAIHSCkiAlrZpVYwAAQIECBAgQIAAAQIECBAgQIAAAQlQMUCAAAECBAgQIECAAAECBAgQIECAQGkFJEBL27QqRoAAAQIECBAgQIAAAQIECBAgQICABKgYIECAAAECBAgQIECAAAECBAgQIECgtAISoKVtWhUjQIAAAQIECBAgQIAAAQIECBAgQEACVAwQIECAAAECBAgQIECAAAECBAgQIFBaAQnQ0jatihEgQIAAAQIECBAgQIAAAQIECBAgIAEqBggQIECAAAECBAgQIECAAAECBAgQKK2ABGhpm1bFCBAgQIAAAQIECBAgQIAAAQIECBCQABUDBAgQIECAAAECBAgQIECAAAECBAiUVkACtLRNq2IECBAgQIAAAQIECBAgQIAAAQIECEiAigECBAgQIECAAAECBAgQIECAAAECBEorIAFa2qZVMQIECBAgQIAAAQIECBAgQIAAAQIEJEDFAAECBAgQIECAAAECBAgQIECAAAECpRWQAC1t06oYAQIECBAgQIAAAQIECBAgQIAAAQISoGKAAAECBAgQIECAAAECBAgQIECAAIHSCkiAlrZpVYwAAQIECBAgQIAAAQIECBAgQIAAAQlQMUCAAAECBAgQIECAAAECBAgQIECAQGkFJEBL27QqRoAAAQIECBAgQIAAAQIECBAgQICABKgYIECAAAECBAgQIECAAAECBAgQIECgtAISoKVtWhUjQIAAAQIECBAgQIAAAQIECBAgQEACVAwQIECAAAECBAgQIECAAAECBAgQIFBaAQnQ0jatihEgQIAAAQIECBAgQIAAAQIECBAgIAEqBggQIECAAAECBAgQIECAAAECBAgQKK2ABGhpm1bFCBAgQIAAAQIECBAgQIAAAQIECBCQABUDBAgQIECAAAECBAgQIECAAAECBAiUVkACtLRNq2IECBAgQIAAAQIECBAgQIAAAQIECEiAigECBAgQIECAAAECBAgQIECAAAECBEor8H84IPpjKI/KoQAAAABJRU5ErkJggg==" width="672" /></p>
<pre class="r"><code>ggsave(&quot;figures_appendix/FigureA10.png&quot;, height=9, units=&quot;cm&quot;, dpi = 900)</code></pre>
<pre><code>## Saving 17.8 x 9 cm image</code></pre>
<pre><code>## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_segment()`).</code></pre>
<pre class="r"><code>###FIGURE A11###

EDEM &lt;- read.dta13(&quot;data/E-DEM-Waves-Dataset.dta&quot;)</code></pre>
<pre><code>## Warning in read.dta13(&quot;data/E-DEM-Waves-Dataset.dta&quot;): 
##    Missing factor labels for variables
## 
##    trust1j_4
## 
##    No labels have been assigned.
##    Set option &#39;generate.factors=TRUE&#39; to generate labels.</code></pre>
<pre class="r"><code>EDEM &lt;- EDEM %&gt;%
  mutate(Party_New = ifelse(is.na(p30a_1), p31_1, p30a_1))
head(EDEM$p30a_1)</code></pre>
<pre><code>## [1] PSOE (Partido Socialista Obrero Español)           
## [2] UP (Podemos y listas locales y municipales-IU-Equo)
## [3] &lt;NA&gt;                                               
## [4] PSOE (Partido Socialista Obrero Español)           
## [5] UP (Podemos y listas locales y municipales-IU-Equo)
## [6] Others                                             
## 17 Levels: PP (Partido Popular) ... [NA: not in wave]</code></pre>
<pre class="r"><code>class(EDEM$Party_New)</code></pre>
<pre><code>## [1] &quot;integer&quot;</code></pre>
<pre class="r"><code>EDEM_Rescaled &lt;- EDEM
rescale &lt;- function(x) { 
  (x - min(x, na.rm = TRUE)) / (max(x, na.rm = TRUE) - min(x, na.rm = TRUE)) 
} 
vars_to_rescale &lt;- c(&quot;p11r_2&quot;, &quot;p11r_3&quot;, &quot;p11r_4&quot;, &quot;p11g_2&quot;, &quot;p11g_3&quot;, &quot;p11g_4&quot;) 

for (var in vars_to_rescale) { 
  EDEM_Rescaled [[var]] &lt;- rescale(EDEM_Rescaled [[var]]) 
} 

EDEM_Rescaled$p11g_2N &lt;- 1 - EDEM_Rescaled$p11g_2
EDEM_Rescaled$p11g_3N &lt;- 1 - EDEM_Rescaled$p11g_3
EDEM_Rescaled$p11g_4N &lt;- 1 - EDEM_Rescaled$p11g_4

ES_PP &lt;- subset(EDEM_Rescaled, Party_New==1)
names(ES_PP)</code></pre>
<pre><code>##    [1] &quot;g1a_0&quot;     &quot;g1b_0&quot;     &quot;g2_0&quot;      &quot;g3_0&quot;      &quot;g4_0&quot;      &quot;g4a_0&quot;     &quot;w1_1&quot;     
##    [8] &quot;w2a_1&quot;     &quot;w2b_1&quot;     &quot;w3_1&quot;      &quot;w4_1&quot;      &quot;s0_1&quot;      &quot;s1_1&quot;      &quot;s2_1&quot;     
##   [15] &quot;s2R_1&quot;     &quot;s3a_1&quot;     &quot;s3b_1&quot;     &quot;s4a_1&quot;     &quot;s4b_1&quot;     &quot;s4bV27_1&quot;  &quot;s5_1&quot;     
##   [22] &quot;s6_1&quot;      &quot;s7_1&quot;      &quot;s8_1&quot;      &quot;s9_1&quot;      &quot;s10_1&quot;     &quot;s11a_1&quot;    &quot;s11b_1&quot;   
##   [29] &quot;s11c_1&quot;    &quot;s11d_1&quot;    &quot;s12_1&quot;     &quot;s12a_1&quot;    &quot;s13_1&quot;     &quot;s14_1&quot;     &quot;s14a_1&quot;   
##   [36] &quot;s14b_1&quot;    &quot;p1_1&quot;      &quot;p2_1&quot;      &quot;p3_1&quot;      &quot;p3V19_1&quot;   &quot;p4a_1&quot;     &quot;p4b_1&quot;    
##   [43] &quot;p4c_1&quot;     &quot;p4d_1&quot;     &quot;p4e_1&quot;     &quot;p4f_1&quot;     &quot;p5_1&quot;      &quot;p6_1&quot;      &quot;p7a_1&quot;    
##   [50] &quot;p7b_1&quot;     &quot;p7c_1&quot;     &quot;p7d_1&quot;     &quot;p7e_1&quot;     &quot;p7f_1&quot;     &quot;p7g_1&quot;     &quot;p7h_1&quot;    
##   [57] &quot;p7i_1&quot;     &quot;p7j_1&quot;     &quot;p7k_1&quot;     &quot;p8_1&quot;      &quot;p9a_1&quot;     &quot;p9b_1&quot;     &quot;p9c_1&quot;    
##   [64] &quot;p9d_1&quot;     &quot;p9e_1&quot;     &quot;p9f_1&quot;     &quot;p9g_1&quot;     &quot;p9h_1&quot;     &quot;p9i_1&quot;     &quot;p9j_1&quot;    
##   [71] &quot;p9k_1&quot;     &quot;p10a_1&quot;    &quot;p10b_1&quot;    &quot;p10c_1&quot;    &quot;p10d_1&quot;    &quot;p10e_1&quot;    &quot;p10f_1&quot;   
##   [78] &quot;p10g_1&quot;    &quot;p10h_1&quot;    &quot;p11a_1&quot;    &quot;p11b_1&quot;    &quot;p11c_1&quot;    &quot;p11d_1&quot;    &quot;p11e_1&quot;   
##   [85] &quot;p11f_1&quot;    &quot;p11g_1&quot;    &quot;p11h_1&quot;    &quot;p11i_1&quot;    &quot;p11j_1&quot;    &quot;p11k_1&quot;    &quot;p11l_1&quot;   
##   [92] &quot;p11m_1&quot;    &quot;p11n_1&quot;    &quot;p11o_1&quot;    &quot;p11p_1&quot;    &quot;p12a_1&quot;    &quot;p12b_1&quot;    &quot;p12c_1&quot;   
##   [99] &quot;p13a_1&quot;    &quot;p13b_1&quot;    &quot;p13c_1&quot;    &quot;p13d_1&quot;    &quot;p13e_1&quot;    &quot;p13f_1&quot;    &quot;p13g_1&quot;   
##  [106] &quot;p13h_1&quot;    &quot;p13i_1&quot;    &quot;p13j_1&quot;    &quot;p14a_1&quot;    &quot;p14b_1&quot;    &quot;p14c_1&quot;    &quot;p14d_1&quot;   
##  [113] &quot;p14e_1&quot;    &quot;p14f_1&quot;    &quot;p14g_1&quot;    &quot;p15a_1&quot;    &quot;p15b_1&quot;    &quot;p15c_1&quot;    &quot;p15d_1&quot;   
##  [120] &quot;p16a_1&quot;    &quot;p16b_1&quot;    &quot;p16c_1&quot;    &quot;p16d_1&quot;    &quot;p16e_1&quot;    &quot;p17a_1&quot;    &quot;p17b_1&quot;   
##  [127] &quot;p17c_1&quot;    &quot;p17d_1&quot;    &quot;p17e_1&quot;    &quot;p18_1&quot;     &quot;p19a_1&quot;    &quot;p19b_1&quot;    &quot;p19c_1&quot;   
##  [134] &quot;p19d_1&quot;    &quot;p19e_1&quot;    &quot;p19f_1&quot;    &quot;p19g_1&quot;    &quot;p19h_1&quot;    &quot;p19hV1_1&quot;  &quot;p20a_1&quot;   
##  [141] &quot;p20b_1&quot;    &quot;p20c_1&quot;    &quot;p20d_1&quot;    &quot;p20e_1&quot;    &quot;p20f_1&quot;    &quot;p20g_1&quot;    &quot;p20h_1&quot;   
##  [148] &quot;p21_1&quot;     &quot;p22a_1&quot;    &quot;p22b_1&quot;    &quot;p22c_1&quot;    &quot;p22d_1&quot;    &quot;p22e_1&quot;    &quot;p22f_1&quot;   
##  [155] &quot;p22g_1&quot;    &quot;p22h_1&quot;    &quot;p23a_1&quot;    &quot;p23b_1&quot;    &quot;p24a_1&quot;    &quot;p24b_1&quot;    &quot;p25_1&quot;    
##  [162] &quot;p26a_1&quot;    &quot;p26b_1&quot;    &quot;p27a_1&quot;    &quot;p27b_1&quot;    &quot;p28a_1&quot;    &quot;p28b_1&quot;    &quot;p29a_1&quot;   
##  [169] &quot;p29b_1&quot;    &quot;p30_1&quot;     &quot;p30a_1&quot;    &quot;p30aV11_1&quot; &quot;p31_1&quot;     &quot;p31V11_1&quot;  &quot;p32a_1&quot;   
##  [176] &quot;p32b_1&quot;    &quot;p32c_1&quot;    &quot;p32d_1&quot;    &quot;p32e_1&quot;    &quot;p32f_1&quot;    &quot;p32g_1&quot;    &quot;p33a_1&quot;   
##  [183] &quot;p33b_1&quot;    &quot;p33c_1&quot;    &quot;p33d_1&quot;    &quot;p33e_1&quot;    &quot;p33f_1&quot;    &quot;p33g_1&quot;    &quot;p33h_1&quot;   
##  [190] &quot;p33i_1&quot;    &quot;p33j_1&quot;    &quot;p33k_1&quot;    &quot;p33l_1&quot;    &quot;p34a_1&quot;    &quot;p34b_1&quot;    &quot;p34c_1&quot;   
##  [197] &quot;p34d_1&quot;    &quot;p34e_1&quot;    &quot;p34f_1&quot;    &quot;p34g_1&quot;    &quot;p34h_1&quot;    &quot;p34i_1&quot;    &quot;p34j_1&quot;   
##  [204] &quot;p34k_1&quot;    &quot;p35_1&quot;     &quot;p35a_1&quot;    &quot;p35aV12_1&quot; &quot;p35b_1&quot;    &quot;p35c_1&quot;    &quot;p35d_1&quot;   
##  [211] &quot;p35e_1&quot;    &quot;p35f_1&quot;    &quot;p36a_1&quot;    &quot;p36aT_1&quot;   &quot;p36b_1&quot;    &quot;p36bT_1&quot;   &quot;p36c_1&quot;   
##  [218] &quot;p36cT_1&quot;   &quot;p36d_1&quot;    &quot;p36dT_1&quot;   &quot;p36e_1&quot;    &quot;p36eT_1&quot;   &quot;p36f_1&quot;    &quot;p36fT_1&quot;  
##  [225] &quot;w1_2&quot;      &quot;w2a_2&quot;     &quot;w2b_2&quot;     &quot;w3_2&quot;      &quot;w4_2&quot;      &quot;s0_2&quot;      &quot;s1_2&quot;     
##  [232] &quot;s2_2&quot;      &quot;s2R_2&quot;     &quot;s3a_2&quot;     &quot;s4a_2&quot;     &quot;s8_2&quot;      &quot;s9_2&quot;      &quot;s10_2&quot;    
##  [239] &quot;s11a_2&quot;    &quot;s11b_2&quot;    &quot;s11c_2&quot;    &quot;s11d_2&quot;    &quot;p1_2&quot;      &quot;p2_2&quot;      &quot;p3_2&quot;     
##  [246] &quot;p3V19_2&quot;   &quot;p4a_2&quot;     &quot;p4b_2&quot;     &quot;p4c_2&quot;     &quot;p4d_2&quot;     &quot;p4e_2&quot;     &quot;p4f_2&quot;    
##  [253] &quot;p4g_2&quot;     &quot;p5_2&quot;      &quot;p6_2&quot;      &quot;p7a_2&quot;     &quot;p7b_2&quot;     &quot;p7c_2&quot;     &quot;p7d_2&quot;    
##  [260] &quot;p7e_2&quot;     &quot;p7f_2&quot;     &quot;p7g_2&quot;     &quot;p7h_2&quot;     &quot;p7i_2&quot;     &quot;p7j_2&quot;     &quot;p7k_2&quot;    
##  [267] &quot;p7l_2&quot;     &quot;p8_2&quot;      &quot;p9a_2&quot;     &quot;p9b_2&quot;     &quot;p9c_2&quot;     &quot;p9d_2&quot;     &quot;p9e_2&quot;    
##  [274] &quot;p9f_2&quot;     &quot;p9g_2&quot;     &quot;p9h_2&quot;     &quot;p9i_2&quot;     &quot;p9j_2&quot;     &quot;p9k_2&quot;     &quot;p9l_2&quot;    
##  [281] &quot;p10a_2&quot;    &quot;p10b_2&quot;    &quot;p10c_2&quot;    &quot;p10d_2&quot;    &quot;p10e_2&quot;    &quot;p10f_2&quot;    &quot;p10g_2&quot;   
##  [288] &quot;p10h_2&quot;    &quot;p11a_2&quot;    &quot;p11b_2&quot;    &quot;p11c_2&quot;    &quot;p11d_2&quot;    &quot;p11e_2&quot;    &quot;p11f_2&quot;   
##  [295] &quot;p11g_2&quot;    &quot;p11h_2&quot;    &quot;p11i_2&quot;    &quot;p11j_2&quot;    &quot;p11k_2&quot;    &quot;p11l_2&quot;    &quot;p11m_2&quot;   
##  [302] &quot;p11n_2&quot;    &quot;p11o_2&quot;    &quot;p11p_2&quot;    &quot;p11q_2&quot;    &quot;p11r_2&quot;    &quot;p11s_2&quot;    &quot;p12a_2&quot;   
##  [309] &quot;p12b_2&quot;    &quot;p12c_2&quot;    &quot;p13a_2&quot;    &quot;p13b_2&quot;    &quot;p13c_2&quot;    &quot;p13d_2&quot;    &quot;p13e_2&quot;   
##  [316] &quot;p13f_2&quot;    &quot;p13g_2&quot;    &quot;p13h_2&quot;    &quot;p13i_2&quot;    &quot;p13j_2&quot;    &quot;p13k_2&quot;    &quot;p14a_2&quot;   
##  [323] &quot;p14b_2&quot;    &quot;p14c_2&quot;    &quot;p14d_2&quot;    &quot;p14e_2&quot;    &quot;p14f_2&quot;    &quot;p14g_2&quot;    &quot;p14h_2&quot;   
##  [330] &quot;p15a_2&quot;    &quot;p15b_2&quot;    &quot;p15c_2&quot;    &quot;p15d_2&quot;    &quot;p17a_2&quot;    &quot;p17b_2&quot;    &quot;p17c_2&quot;   
##  [337] &quot;p17d_2&quot;    &quot;p17e_2&quot;    &quot;p19a_2&quot;    &quot;p19b_2&quot;    &quot;p19c_2&quot;    &quot;p19d_2&quot;    &quot;p19e_2&quot;   
##  [344] &quot;p19f_2&quot;    &quot;p19g_2&quot;    &quot;p19h_2&quot;    &quot;p19hV1_2&quot;  &quot;p26a_2&quot;    &quot;p26b_2&quot;    &quot;p27a_2&quot;   
##  [351] &quot;p27b_2&quot;    &quot;p28a_2&quot;    &quot;p28b_2&quot;    &quot;p29a_2&quot;    &quot;p29b_2&quot;    &quot;p32a_2&quot;    &quot;p32b_2&quot;   
##  [358] &quot;p32c_2&quot;    &quot;p32d_2&quot;    &quot;p32e_2&quot;    &quot;p32f_2&quot;    &quot;p32g_2&quot;    &quot;p33a_2&quot;    &quot;p33b_2&quot;   
##  [365] &quot;p33c_2&quot;    &quot;p33d_2&quot;    &quot;p33e_2&quot;    &quot;p33f_2&quot;    &quot;p33g_2&quot;    &quot;p33h_2&quot;    &quot;p33i_2&quot;   
##  [372] &quot;p33j_2&quot;    &quot;p33k_2&quot;    &quot;p33l_2&quot;    &quot;p34_2&quot;     &quot;p34a_2&quot;    &quot;p34b_2&quot;    &quot;p34c_2&quot;   
##  [379] &quot;p34d_2&quot;    &quot;p34e_2&quot;    &quot;p34f_2&quot;    &quot;p34g_2&quot;    &quot;p34h_2&quot;    &quot;p34i_2&quot;    &quot;p34j_2&quot;   
##  [386] &quot;p34k_2&quot;    &quot;p35_2&quot;     &quot;p35a_2&quot;    &quot;p35aV12_2&quot; &quot;p35b_2&quot;    &quot;p35c_2&quot;    &quot;p35d_2&quot;   
##  [393] &quot;p35e_2&quot;    &quot;p35f_2&quot;    &quot;p37a_2&quot;    &quot;p37b_2&quot;    &quot;p38a_2&quot;    &quot;p38b_2&quot;    &quot;p39a0_2&quot;  
##  [400] &quot;p39a1_2&quot;   &quot;p39a2_2&quot;   &quot;p39a3_2&quot;   &quot;p39a4_2&quot;   &quot;p39a9_2&quot;   &quot;p39b0_2&quot;   &quot;p39b1_2&quot;  
##  [407] &quot;p39b2_2&quot;   &quot;p39b3_2&quot;   &quot;p39b4_2&quot;   &quot;p39b9_2&quot;   &quot;p39c0_2&quot;   &quot;p39c1_2&quot;   &quot;p39c2_2&quot;  
##  [414] &quot;p39c3_2&quot;   &quot;p39c4_2&quot;   &quot;p39c9_2&quot;   &quot;p39d0_2&quot;   &quot;p39d1_2&quot;   &quot;p39d2_2&quot;   &quot;p39d3_2&quot;  
##  [421] &quot;p39d4_2&quot;   &quot;p39d9_2&quot;   &quot;p39e0_2&quot;   &quot;p39e1_2&quot;   &quot;p39e2_2&quot;   &quot;p39e3_2&quot;   &quot;p39e4_2&quot;  
##  [428] &quot;p39e9_2&quot;   &quot;p39f0_2&quot;   &quot;p39f1_2&quot;   &quot;p39f2_2&quot;   &quot;p39f3_2&quot;   &quot;p39f4_2&quot;   &quot;p39f9_2&quot;  
##  [435] &quot;p39g0_2&quot;   &quot;p39g1_2&quot;   &quot;p39g2_2&quot;   &quot;p39g3_2&quot;   &quot;p39g4_2&quot;   &quot;p39g9_2&quot;   &quot;p39h0_2&quot;  
##  [442] &quot;p39h1_2&quot;   &quot;p39h2_2&quot;   &quot;p39h3_2&quot;   &quot;p39h4_2&quot;   &quot;p39h9_2&quot;   &quot;p39i0_2&quot;   &quot;p39i1_2&quot;  
##  [449] &quot;p39i2_2&quot;   &quot;p39i3_2&quot;   &quot;p39i4_2&quot;   &quot;p39i9_2&quot;   &quot;p39l0_2&quot;   &quot;p39l1_2&quot;   &quot;p39l2_2&quot;  
##  [456] &quot;p39l3_2&quot;   &quot;p39l4_2&quot;   &quot;p39l9_2&quot;   &quot;p39m0_2&quot;   &quot;p39m1_2&quot;   &quot;p39m2_2&quot;   &quot;p39m3_2&quot;  
##  [463] &quot;p39m4_2&quot;   &quot;p39m9_2&quot;   &quot;p39mV_2&quot;   &quot;p40a_2&quot;    &quot;p40b_2&quot;    &quot;p40c_2&quot;    &quot;p40d_2&quot;   
##  [470] &quot;p40e_2&quot;    &quot;p40f_2&quot;    &quot;p40g_2&quot;    &quot;p40h_2&quot;    &quot;p41a_2&quot;    &quot;p41b_2&quot;    &quot;p41c_2&quot;   
##  [477] &quot;p41d_2&quot;    &quot;p41e_2&quot;    &quot;p41f_2&quot;    &quot;p41g_2&quot;    &quot;p41h_2&quot;    &quot;p42_2&quot;     &quot;trust1a_2&quot;
##  [484] &quot;trust1b_2&quot; &quot;trust1c_2&quot; &quot;trust1d_2&quot; &quot;trust1e_2&quot; &quot;trust1f_2&quot; &quot;trust1g_2&quot; &quot;trust1h_2&quot;
##  [491] &quot;trust1i_2&quot; &quot;trust1j_2&quot; &quot;w1_3&quot;      &quot;w2a_3&quot;     &quot;w2b_3&quot;     &quot;w3_3&quot;      &quot;w4_3&quot;     
##  [498] &quot;s0_3&quot;      &quot;s1_3&quot;      &quot;s2_3&quot;      &quot;s2R_3&quot;     &quot;s3a_3&quot;     &quot;s4a_3&quot;     &quot;s8_3&quot;     
##  [505] &quot;s9_3&quot;      &quot;s10_3&quot;     &quot;s11a_3&quot;    &quot;s11b_3&quot;    &quot;s11c_3&quot;    &quot;s11d_3&quot;    &quot;p1_3&quot;     
##  [512] &quot;p2_3&quot;      &quot;p3_3&quot;      &quot;p3V19_3&quot;   &quot;p4a_3&quot;     &quot;p4b_3&quot;     &quot;p4c_3&quot;     &quot;p4d_3&quot;    
##  [519] &quot;p4e_3&quot;     &quot;p4f_3&quot;     &quot;p4g_3&quot;     &quot;p4h_3&quot;     &quot;p6_3&quot;      &quot;p7a_3&quot;     &quot;p7b_3&quot;    
##  [526] &quot;p7c_3&quot;     &quot;p7e_3&quot;     &quot;p7f_3&quot;     &quot;p7g_3&quot;     &quot;p7h_3&quot;     &quot;p7i_3&quot;     &quot;p7l_3&quot;    
##  [533] &quot;p7m_3&quot;     &quot;p7n_3&quot;     &quot;p7o_3&quot;     &quot;p8_3&quot;      &quot;p9a_3&quot;     &quot;p9b_3&quot;     &quot;p9c_3&quot;    
##  [540] &quot;p9e_3&quot;     &quot;p9f_3&quot;     &quot;p9g_3&quot;     &quot;p9h_3&quot;     &quot;p9i_3&quot;     &quot;p9l_3&quot;     &quot;p9m_3&quot;    
##  [547] &quot;p9n_3&quot;     &quot;p9o_3&quot;     &quot;p10a_3&quot;    &quot;p10b_3&quot;    &quot;p10c_3&quot;    &quot;p10d_3&quot;    &quot;p10e_3&quot;   
##  [554] &quot;p10f_3&quot;    &quot;p10g_3&quot;    &quot;p10h_3&quot;    &quot;p10i_3&quot;    &quot;p11a_3&quot;    &quot;p11b_3&quot;    &quot;p11c_3&quot;   
##  [561] &quot;p11d_3&quot;    &quot;p11e_3&quot;    &quot;p11f_3&quot;    &quot;p11g_3&quot;    &quot;p11h_3&quot;    &quot;p11i_3&quot;    &quot;p11j_3&quot;   
##  [568] &quot;p11k_3&quot;    &quot;p11l_3&quot;    &quot;p11m_3&quot;    &quot;p11n_3&quot;    &quot;p11o_3&quot;    &quot;p11p_3&quot;    &quot;p11q_3&quot;   
##  [575] &quot;p11r_3&quot;    &quot;p11s_3&quot;    &quot;p12a_3&quot;    &quot;p12b_3&quot;    &quot;p12c_3&quot;    &quot;p13a_3&quot;    &quot;p13b_3&quot;   
##  [582] &quot;p13c_3&quot;    &quot;p13d_3&quot;    &quot;p13e_3&quot;    &quot;p13f_3&quot;    &quot;p13g_3&quot;    &quot;p13h_3&quot;    &quot;p13i_3&quot;   
##  [589] &quot;p13j_3&quot;    &quot;p13k_3&quot;    &quot;p14a_3&quot;    &quot;p14b_3&quot;    &quot;p14c_3&quot;    &quot;p14d_3&quot;    &quot;p14e_3&quot;   
##  [596] &quot;p14f_3&quot;    &quot;p14g_3&quot;    &quot;p14h_3&quot;    &quot;p17a_3&quot;    &quot;p17b_3&quot;    &quot;p17c_3&quot;    &quot;p17d_3&quot;   
##  [603] &quot;p17e_3&quot;    &quot;p19a_3&quot;    &quot;p19a1_3&quot;   &quot;p19b_3&quot;    &quot;p19c_3&quot;    &quot;p19d_3&quot;    &quot;p19e_3&quot;   
##  [610] &quot;p19f_3&quot;    &quot;p19g_3&quot;    &quot;p19h_3&quot;    &quot;p19hV1_3&quot;  &quot;p19i_3&quot;    &quot;p26a_3&quot;    &quot;p26b_3&quot;   
##  [617] &quot;p27a_3&quot;    &quot;p27b_3&quot;    &quot;p28a_3&quot;    &quot;p28b_3&quot;    &quot;p29a_3&quot;    &quot;p29b_3&quot;    &quot;p35_3&quot;    
##  [624] &quot;p35a_3&quot;    &quot;p35aV12_3&quot; &quot;p35b_3&quot;    &quot;p35c_3&quot;    &quot;p35d_3&quot;    &quot;p35e_3&quot;    &quot;p35f_3&quot;   
##  [631] &quot;p37a_3&quot;    &quot;p37b_3&quot;    &quot;p38a_3&quot;    &quot;p38b_3&quot;    &quot;p40a_3&quot;    &quot;p40b_3&quot;    &quot;p40c_3&quot;   
##  [638] &quot;p40d_3&quot;    &quot;p40e_3&quot;    &quot;p40f_3&quot;    &quot;p40g_3&quot;    &quot;p40h_3&quot;    &quot;p41a_3&quot;    &quot;p41b_3&quot;   
##  [645] &quot;p41c_3&quot;    &quot;p41d_3&quot;    &quot;p41e_3&quot;    &quot;p41f_3&quot;    &quot;p41g_3&quot;    &quot;p41h_3&quot;    &quot;p47_3&quot;    
##  [652] &quot;p48_3&quot;     &quot;p49_3&quot;     &quot;p50_3&quot;     &quot;p51_3&quot;     &quot;p52_3&quot;     &quot;p53a_3&quot;    &quot;p53b_3&quot;   
##  [659] &quot;p53c_3&quot;    &quot;p53d_3&quot;    &quot;p53e_3&quot;    &quot;p53f_3&quot;    &quot;p53fV1_3&quot;  &quot;p53g_3&quot;    &quot;p53h_3&quot;   
##  [666] &quot;p54a_3&quot;    &quot;p54b_3&quot;    &quot;p54c_3&quot;    &quot;p54d_3&quot;    &quot;p54e_3&quot;    &quot;p54f_3&quot;    &quot;p54g_3&quot;   
##  [673] &quot;p54h_3&quot;    &quot;p55_3&quot;     &quot;p56_3&quot;     &quot;p57a_3&quot;    &quot;p57b_3&quot;    &quot;p57c_3&quot;    &quot;p57d_3&quot;   
##  [680] &quot;p57e_3&quot;    &quot;p58a_3&quot;    &quot;p58b_3&quot;    &quot;p58c_3&quot;    &quot;p58d_3&quot;    &quot;p58e_3&quot;    &quot;p58f_3&quot;   
##  [687] &quot;p58g_3&quot;    &quot;p58h_3&quot;    &quot;p59_3&quot;     &quot;p60_3&quot;     &quot;p61a_3&quot;    &quot;p61b_3&quot;    &quot;p61c_3&quot;   
##  [694] &quot;p61d_3&quot;    &quot;p61e_3&quot;    &quot;p62a_3&quot;    &quot;p62b_3&quot;    &quot;p62c_3&quot;    &quot;p62d_3&quot;    &quot;p62e_3&quot;   
##  [701] &quot;p62f_3&quot;    &quot;p62g_3&quot;    &quot;p62h_3&quot;    &quot;p63_3&quot;     &quot;p64_3&quot;     &quot;p65a_3&quot;    &quot;p65b_3&quot;   
##  [708] &quot;p65c_3&quot;    &quot;p65d_3&quot;    &quot;p65e_3&quot;    &quot;p66a_3&quot;    &quot;p66b_3&quot;    &quot;p66c_3&quot;    &quot;p66d_3&quot;   
##  [715] &quot;p66e_3&quot;    &quot;p66f_3&quot;    &quot;p66g_3&quot;    &quot;p66h_3&quot;    &quot;p67_3&quot;     &quot;p68_3&quot;     &quot;p69a_3&quot;   
##  [722] &quot;p69b_3&quot;    &quot;p69c_3&quot;    &quot;p69d_3&quot;    &quot;p69e_3&quot;    &quot;p70a_3&quot;    &quot;p70b_3&quot;    &quot;p70c_3&quot;   
##  [729] &quot;p70d_3&quot;    &quot;p70e_3&quot;    &quot;p71a_3&quot;    &quot;p71b_3&quot;    &quot;p71c_3&quot;    &quot;p71d_3&quot;    &quot;p71e_3&quot;   
##  [736] &quot;p72a_3&quot;    &quot;p72b_3&quot;    &quot;p72c_3&quot;    &quot;p72e_3&quot;    &quot;p72f_3&quot;    &quot;p72g_3&quot;    &quot;p72h_3&quot;   
##  [743] &quot;p72i_3&quot;    &quot;p72l_3&quot;    &quot;p72m_3&quot;    &quot;p72n_3&quot;    &quot;p72o_3&quot;    &quot;p73_3&quot;     &quot;p74a_3&quot;   
##  [750] &quot;p74b_3&quot;    &quot;p74c_3&quot;    &quot;p74e_3&quot;    &quot;p74f_3&quot;    &quot;p74g_3&quot;    &quot;p74h_3&quot;    &quot;p74i_3&quot;   
##  [757] &quot;p74l_3&quot;    &quot;p74m_3&quot;    &quot;p74n_3&quot;    &quot;p74o_3&quot;    &quot;p74p_3&quot;    &quot;p74q_3&quot;    &quot;p75_3&quot;    
##  [764] &quot;trust1a_3&quot; &quot;trust1b_3&quot; &quot;trust1c_3&quot; &quot;trust1d_3&quot; &quot;trust1e_3&quot; &quot;trust1f_3&quot; &quot;trust1g_3&quot;
##  [771] &quot;trust1h_3&quot; &quot;trust1i_3&quot; &quot;trust1j_3&quot; &quot;w1_4&quot;      &quot;w2a_4&quot;     &quot;w2b_4&quot;     &quot;w3_4&quot;     
##  [778] &quot;w4_4&quot;      &quot;s0_4&quot;      &quot;s1_4&quot;      &quot;s2_4&quot;      &quot;s2R_4&quot;     &quot;s3a_4&quot;     &quot;s4a_4&quot;    
##  [785] &quot;s8_4&quot;      &quot;s9_4&quot;      &quot;s10_4&quot;     &quot;s11a_4&quot;    &quot;s11b_4&quot;    &quot;s11c_4&quot;    &quot;s11d_4&quot;   
##  [792] &quot;p1_4&quot;      &quot;p2_4&quot;      &quot;p3_4&quot;      &quot;p3V19_4&quot;   &quot;p4a_4&quot;     &quot;p4b_4&quot;     &quot;p4c_4&quot;    
##  [799] &quot;p4d_4&quot;     &quot;p4e_4&quot;     &quot;p4f_4&quot;     &quot;p4g_4&quot;     &quot;p4h_4&quot;     &quot;p8_4&quot;      &quot;p9a_4&quot;    
##  [806] &quot;p9b_4&quot;     &quot;p9c_4&quot;     &quot;p9e_4&quot;     &quot;p9f_4&quot;     &quot;p9g_4&quot;     &quot;p9h_4&quot;     &quot;p9i_4&quot;    
##  [813] &quot;p9l_4&quot;     &quot;p9m_4&quot;     &quot;p9n_4&quot;     &quot;p9o_4&quot;     &quot;p10a_4&quot;    &quot;p10b_4&quot;    &quot;p10c_4&quot;   
##  [820] &quot;p10d_4&quot;    &quot;p10e_4&quot;    &quot;p10f_4&quot;    &quot;p10g_4&quot;    &quot;p10h_4&quot;    &quot;p10i_4&quot;    &quot;p11a_4&quot;   
##  [827] &quot;p11b_4&quot;    &quot;p11c_4&quot;    &quot;p11d_4&quot;    &quot;p11e_4&quot;    &quot;p11f_4&quot;    &quot;p11g_4&quot;    &quot;p11h_4&quot;   
##  [834] &quot;p11i_4&quot;    &quot;p11j_4&quot;    &quot;p11k_4&quot;    &quot;p11l_4&quot;    &quot;p11m_4&quot;    &quot;p11n_4&quot;    &quot;p11o_4&quot;   
##  [841] &quot;p11p_4&quot;    &quot;p11q_4&quot;    &quot;p11r_4&quot;    &quot;p11s_4&quot;    &quot;p12a_4&quot;    &quot;p12b_4&quot;    &quot;p12c_4&quot;   
##  [848] &quot;p13a_4&quot;    &quot;p13b_4&quot;    &quot;p13c_4&quot;    &quot;p13d_4&quot;    &quot;p13e_4&quot;    &quot;p13f_4&quot;    &quot;p13g_4&quot;   
##  [855] &quot;p13h_4&quot;    &quot;p13i_4&quot;    &quot;p13j_4&quot;    &quot;p13k_4&quot;    &quot;p14a_4&quot;    &quot;p14b_4&quot;    &quot;p14c_4&quot;   
##  [862] &quot;p14d_4&quot;    &quot;p14e_4&quot;    &quot;p14f_4&quot;    &quot;p14g_4&quot;    &quot;p14h_4&quot;    &quot;p19a_4&quot;    &quot;p19a1_4&quot;  
##  [869] &quot;p19b_4&quot;    &quot;p19c_4&quot;    &quot;p19d_4&quot;    &quot;p19e_4&quot;    &quot;p19f_4&quot;    &quot;p19g_4&quot;    &quot;p19h_4&quot;   
##  [876] &quot;p19hV1_4&quot;  &quot;p19i_4&quot;    &quot;p26b_4&quot;    &quot;p27b_4&quot;    &quot;p28b_4&quot;    &quot;p29b_4&quot;    &quot;p35_4&quot;    
##  [883] &quot;p35a_4&quot;    &quot;p35aV12_4&quot; &quot;p35b_4&quot;    &quot;p37a_4&quot;    &quot;p37b_4&quot;    &quot;p40a_4&quot;    &quot;p40b_4&quot;   
##  [890] &quot;p40c_4&quot;    &quot;p40d_4&quot;    &quot;p40e_4&quot;    &quot;p40f_4&quot;    &quot;p40g_4&quot;    &quot;p40h_4&quot;    &quot;p40i_4&quot;   
##  [897] &quot;p41a_4&quot;    &quot;p41b_4&quot;    &quot;p41c_4&quot;    &quot;p41d_4&quot;    &quot;p41e_4&quot;    &quot;p41f_4&quot;    &quot;p41g_4&quot;   
##  [904] &quot;p41h_4&quot;    &quot;p41i_4&quot;    &quot;p47_4&quot;     &quot;p48_4&quot;     &quot;p49_4&quot;     &quot;p50_4&quot;     &quot;p51_4&quot;    
##  [911] &quot;p52_4&quot;     &quot;p53a_4&quot;    &quot;p53b_4&quot;    &quot;p53c_4&quot;    &quot;p53d_4&quot;    &quot;p53e_4&quot;    &quot;p53f_4&quot;   
##  [918] &quot;p53fV1_4&quot;  &quot;p53g_4&quot;    &quot;p53h_4&quot;    &quot;p54a_4&quot;    &quot;p54b_4&quot;    &quot;p54c_4&quot;    &quot;p54d_4&quot;   
##  [925] &quot;p54e_4&quot;    &quot;p54f_4&quot;    &quot;p54g_4&quot;    &quot;p54h_4&quot;    &quot;p55_4&quot;     &quot;p56_4&quot;     &quot;p57a_4&quot;   
##  [932] &quot;p57b_4&quot;    &quot;p57c_4&quot;    &quot;p57d_4&quot;    &quot;p57e_4&quot;    &quot;p58a_4&quot;    &quot;p58b_4&quot;    &quot;p58c_4&quot;   
##  [939] &quot;p58d_4&quot;    &quot;p58e_4&quot;    &quot;p58f_4&quot;    &quot;p58g_4&quot;    &quot;p58h_4&quot;    &quot;p59_4&quot;     &quot;p60_4&quot;    
##  [946] &quot;p61a_4&quot;    &quot;p61b_4&quot;    &quot;p61c_4&quot;    &quot;p61d_4&quot;    &quot;p61e_4&quot;    &quot;p62a_4&quot;    &quot;p62b_4&quot;   
##  [953] &quot;p62c_4&quot;    &quot;p62d_4&quot;    &quot;p62e_4&quot;    &quot;p62f_4&quot;    &quot;p62g_4&quot;    &quot;p62h_4&quot;    &quot;p63_4&quot;    
##  [960] &quot;p64_4&quot;     &quot;p65a_4&quot;    &quot;p65b_4&quot;    &quot;p65c_4&quot;    &quot;p65d_4&quot;    &quot;p65e_4&quot;    &quot;p66a_4&quot;   
##  [967] &quot;p66b_4&quot;    &quot;p66c_4&quot;    &quot;p66d_4&quot;    &quot;p66e_4&quot;    &quot;p66f_4&quot;    &quot;p66g_4&quot;    &quot;p66h_4&quot;   
##  [974] &quot;p67_4&quot;     &quot;p68_4&quot;     &quot;p69a_4&quot;    &quot;p69b_4&quot;    &quot;p69c_4&quot;    &quot;p69d_4&quot;    &quot;p69e_4&quot;   
##  [981] &quot;p70a_4&quot;    &quot;p70b_4&quot;    &quot;p70c_4&quot;    &quot;p70d_4&quot;    &quot;p70e_4&quot;    &quot;p71a_4&quot;    &quot;p71b_4&quot;   
##  [988] &quot;p71c_4&quot;    &quot;p71d_4&quot;    &quot;p71e_4&quot;    &quot;p72a_4&quot;    &quot;p72b_4&quot;    &quot;p72c_4&quot;    &quot;p72e_4&quot;   
##  [995] &quot;p72f_4&quot;    &quot;p72g_4&quot;    &quot;p72h_4&quot;    &quot;p72i_4&quot;    &quot;p72l_4&quot;    &quot;p72m_4&quot;   
##  [ reached getOption(&quot;max.print&quot;) -- omitted 50 entries ]</code></pre>
<pre class="r"><code>meanVOX_W2 &lt;- mean(ES_PP$p11r_2, na.rm = TRUE)
meanVOX_W3 &lt;- mean(ES_PP$p11r_3, na.rm = TRUE)
meanVOX_W4 &lt;- mean(ES_PP$p11r_4, na.rm = TRUE)

meanPSOE_W2 &lt;- mean(ES_PP$p11g_2N, na.rm = TRUE)
meanPSOE_W3 &lt;- mean(ES_PP$p11g_3N, na.rm = TRUE)
meanPSOE_W4 &lt;- mean(ES_PP$p11g_4N, na.rm = TRUE)

ES_w2 &lt;- ggplot(data = ES_PP) +
  geom_density(aes(x = p11r_2, fill = &quot;VOX&quot;), alpha = 0.5, color = &quot;green4&quot;) +
  geom_density(aes(x = p11g_2N, fill = &quot;PSOE&quot;), alpha = 0.5, color = &quot;red2&quot;) +
  ylim(0,5)+
  scale_fill_manual(values = c(&quot;red2&quot;, &quot;green4&quot;), labels=c(&quot;VOX&quot;, &quot;PSOE&quot;)) +
  scale_color_manual(values = c(&quot;red2&quot;, &quot;green4&quot;)) +
  labs(x=&quot;&quot;, subtitle = &quot;a) Wave 2: (February 2019)&quot;) +
  theme_ggdist() +  
  theme(legend.position = &quot;none&quot;,
        plot.subtitle = element_text(face = &quot;bold&quot;),
        axis.text.y = element_blank(),
        axis.ticks.y = element_blank(),
        axis.title.y = element_blank(),
        axis.title.x = element_text(size = 10)) +
  annotate(&quot;text&quot;, x = 0, y = 3.55, label = &quot;In-block love&quot;,
           color = &quot;green4&quot;, size = 4, fontface = &quot;bold&quot;, hjust = 0) +
  annotate(&quot;text&quot;, x = 0, y = 3.95, label = &quot;Out-block hate&quot;,
           color = &quot;red3&quot;, size = 4, fontface = &quot;bold&quot;, hjust = 0) +
  
  geom_vline(xintercept = meanVOX_W2, linetype = &quot;dashed&quot;, color = &quot;green4&quot;) +
  geom_vline(xintercept = meanPSOE_W2, linetype = &quot;dashed&quot;, color = &quot;red2&quot;)+
  geom_label(aes(x = meanPSOE_W2, y = 4), nudge_x= .15,  label = round(meanPSOE_W2, 2), 
             color = &quot;red2&quot;, vjust = -0.5)+
  geom_label(aes(x = meanVOX_W2, y = 4), nudge_x= -.15,  label = round(meanVOX_W2, 2), 
             color = &quot;green4&quot;, vjust = -0.5)


ES_w3 &lt;- ggplot(data = ES_PP) +
  geom_density(aes(x = p11r_3, fill = &quot;VOX&quot;), alpha = 0.5, color = &quot;green4&quot;) +
  geom_density(aes(x = p11g_3N, fill = &quot;PSOE&quot;), alpha = 0.5, color = &quot;red2&quot;) +
  ylim(0,5)+
  scale_fill_manual(values = c(&quot;red2&quot;, &quot;green4&quot;), labels=c(&quot;VOX&quot;, &quot;PSOE&quot;)) +
  scale_color_manual(values = c(&quot;red2&quot;, &quot;green4&quot;)) +
  labs(x=&quot;&quot;, subtitle = &quot;b) Wave 3: (Abril 2019)&quot;) +
  theme_ggdist() +  
  theme(legend.position = &quot;none&quot;,
        plot.subtitle = element_text(face = &quot;bold&quot;),
        axis.text.y = element_blank(),
        axis.ticks.y = element_blank(),
        axis.title.y = element_blank(),
        axis.title.x = element_text(size = 10)) +
  
  geom_vline(xintercept = meanVOX_W3, linetype = &quot;dashed&quot;, color = &quot;green4&quot;) +
  geom_vline(xintercept = meanPSOE_W3, linetype = &quot;dashed&quot;, color = &quot;red2&quot;)+
  geom_label(aes(x = meanPSOE_W3, y = 4), nudge_x= .15,  label = round(meanPSOE_W3, 2), 
             color = &quot;red2&quot;, vjust = -0.5)+
  geom_label(aes(x = meanVOX_W3, y = 4), nudge_x= -.15,  label = round(meanVOX_W3, 2), 
             color = &quot;green4&quot;, vjust = -0.5)


ES_w4 &lt;- ggplot(data = ES_PP) +
  geom_density(aes(x = p11r_4, fill = &quot;VOX&quot;), alpha = 0.5, color = &quot;green4&quot;) +
  geom_density(aes(x = p11g_4N, fill = &quot;PSOE&quot;), alpha = 0.5, color = &quot;red2&quot;) +
  ylim(0,5)+
  scale_fill_manual(values = c(&quot;red2&quot;, &quot;green4&quot;), labels=c(&quot;VOX&quot;, &quot;PSOE&quot;)) +
  scale_color_manual(values = c(&quot;red2&quot;, &quot;green4&quot;)) +
  labs(x=&quot;&quot;, subtitle = &quot;c) Wave 4: (May 2019)&quot;) +
  theme_ggdist() +  
  theme(legend.position = &quot;none&quot;,
        plot.subtitle = element_text(face = &quot;bold&quot;),
        axis.text.y = element_blank(),
        axis.ticks.y = element_blank(),
        axis.title.y = element_blank(),
        axis.title.x = element_text(size = 10)) +
  
  geom_vline(xintercept = meanVOX_W4, linetype = &quot;dashed&quot;, color = &quot;green4&quot;) +
  geom_vline(xintercept = meanPSOE_W4, linetype = &quot;dashed&quot;, color = &quot;red2&quot;)+
  geom_label(aes(x = meanPSOE_W4, y = 4), nudge_x= .15,  label = round(meanPSOE_W4, 2), 
             color = &quot;red2&quot;, vjust = -0.5)+
  geom_label(aes(x = meanVOX_W4, y = 4), nudge_x= -.15,  label = round(meanVOX_W4, 2), 
             color = &quot;green4&quot;, vjust = -0.5)



ES_PP$Dif_W2 &lt;- ifelse(!is.na(ES_PP$p11r_2) &amp; !is.na(ES_PP$p11g_2N), ES_PP$p11g_2N - ES_PP$p11r_2, NA)
ES_PP$Dif_W3 &lt;- ifelse(!is.na(ES_PP$p11r_3) &amp; !is.na(ES_PP$p11g_3N), ES_PP$p11g_3N - ES_PP$p11r_3, NA)
ES_PP$Dif_W4 &lt;- ifelse(!is.na(ES_PP$p11r_4) &amp; !is.na(ES_PP$p11g_4N), ES_PP$p11g_4N - ES_PP$p11r_4, NA)

Mean_Dif_W2 &lt;- mean(ES_PP$Dif_W2, na.rm = TRUE)
Mean_Dif_W3 &lt;- mean(ES_PP$Dif_W3, na.rm = TRUE)
Mean_Dif_W4 &lt;- mean(ES_PP$Dif_W4, na.rm = TRUE)

ES_dif_w2 &lt;- ggplot(data = ES_PP) +
  geom_density(aes(x = Dif_W2, fill = &quot;Difference&quot;), alpha = 0.5, color = &quot;cyan4&quot;) +
  ylim(0,5)+
  scale_fill_manual(values = c(&quot;cyan4&quot;), labels=c(&quot;Differece&quot;)) +
  scale_color_manual(values = c(&quot;cyan4&quot;)) +
  labs(x=&quot;More in-block love – More out-block hate&quot;, subtitle = &quot;&quot;) +
  theme_ggdist() +  
  theme(legend.position = &quot;none&quot;,
        axis.text.y = element_blank(),
        axis.ticks.y = element_blank(),
        axis.title.y = element_blank(),
        axis.title.x = element_text(size = 10)) +
  annotate(&quot;text&quot;, x = 0.1, y = 4, label = &quot;Difference&quot;,
           color = &quot;cyan4&quot;, size = 4, fontface = &quot;bold&quot;, hjust = 0) +
  geom_vline(xintercept = Mean_Dif_W2, linetype = &quot;dashed&quot;, color = &quot;cyan4&quot;)+
  geom_label(aes(x = Mean_Dif_W2, y = 4), nudge_x= .15,  label = round(Mean_Dif_W2, 2), 
             color = &quot;cyan4&quot;, vjust = -0.5)

ES_dif_w3 &lt;- ggplot(data = ES_PP) +
  geom_density(aes(x = Dif_W3, fill = &quot;Difference&quot;), alpha = 0.5, color = &quot;cyan4&quot;) +
  ylim(0,5)+
  scale_fill_manual(values = c(&quot;cyan4&quot;), labels=c(&quot;Differece&quot;)) +
  scale_color_manual(values = c(&quot;cyan4&quot;)) +
  labs(x=&quot;More in-block love – More out-block hate&quot;, subtitle = &quot;&quot;) +
  theme_ggdist() +  
  theme(legend.position = &quot;none&quot;,
        axis.text.y = element_blank(),
        axis.ticks.y = element_blank(),
        axis.title.y = element_blank(),
        axis.title.x = element_text(size = 10)) +
  
  geom_vline(xintercept = Mean_Dif_W3, linetype = &quot;dashed&quot;, color = &quot;cyan4&quot;) +
  geom_label(aes(x = Mean_Dif_W3, y = 4), nudge_x= .15, label = round(Mean_Dif_W3, 2), 
             color = &quot;cyan4&quot;, vjust = -0.5)

ES_dif_w4 &lt;- ggplot(data = ES_PP) +
  geom_density(aes(x = Dif_W4, fill = &quot;Difference&quot;), alpha = 0.5, color = &quot;cyan4&quot;) +
  ylim(0,5)+
  scale_fill_manual(values = c(&quot;cyan4&quot;), labels=c(&quot;Differece&quot;)) +
  scale_color_manual(values = c(&quot;cyan4&quot;)) +
  labs(x=&quot;More in-block love – More out-block hate&quot;, subtitle = &quot;&quot;) +
  theme_ggdist() +  
  theme(legend.position = &quot;none&quot;,
        axis.text.y = element_blank(),
        axis.ticks.y = element_blank(),
        axis.title.y = element_blank(),
        axis.title.x = element_text(size = 10)) +
  geom_vline(xintercept = Mean_Dif_W4, linetype = &quot;dashed&quot;, color = &quot;cyan4&quot;) +
  geom_label(aes(x = Mean_Dif_W4, y = 4), nudge_x= .15, label = round(Mean_Dif_W4, 2), 
             color = &quot;cyan4&quot;, vjust = -0.5)


EScombined_plot &lt;- (ES_w2|ES_w3|ES_w4) / (ES_dif_w2 |ES_dif_w3| ES_dif_w4) +
  plot_annotation(title = &quot;Spain centre-right voters&#39; in-block love &amp; out-block hate&quot;,
                  subtitle = &quot;Upper panel: Absolute affect for in-block &amp; out-block partians\nLower panel: Difference negative out-block affect &amp; positive in-bloc affect&quot;,
                  caption = &quot;Source: E-Dem 2017-2020 Dataset&quot;) &amp; 
  theme(plot.title = element_text(face=&quot;bold&quot;))
ggsave(&quot;figures_appendix/FigureA11.png&quot;, dpi = 900,
       height=12, width=14)</code></pre>
<pre><code>## Warning in geom_label(aes(x = meanPSOE_W2, y = 4), nudge_x = 0.15, label = round(meanPSOE_W2, : All aesthetics have length 1, but the data has 386 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing a single
##   row.</code></pre>
<pre><code>## Warning in geom_label(aes(x = meanVOX_W2, y = 4), nudge_x = -0.15, label = round(meanVOX_W2, : All aesthetics have length 1, but the data has 386 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing a single
##   row.</code></pre>
<pre><code>## Warning: Removed 81 rows containing non-finite outside the scale range (`stat_density()`).
## Removed 81 rows containing non-finite outside the scale range (`stat_density()`).</code></pre>
<pre><code>## Warning in geom_label(aes(x = meanPSOE_W3, y = 4), nudge_x = 0.15, label = round(meanPSOE_W3, : All aesthetics have length 1, but the data has 386 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing a single
##   row.</code></pre>
<pre><code>## Warning in geom_label(aes(x = meanVOX_W3, y = 4), nudge_x = -0.15, label = round(meanVOX_W3, : All aesthetics have length 1, but the data has 386 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing a single
##   row.</code></pre>
<pre><code>## Warning: Removed 122 rows containing non-finite outside the scale range (`stat_density()`).
## Removed 122 rows containing non-finite outside the scale range (`stat_density()`).</code></pre>
<pre><code>## Warning in geom_label(aes(x = meanPSOE_W4, y = 4), nudge_x = 0.15, label = round(meanPSOE_W4, : All aesthetics have length 1, but the data has 386 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing a single
##   row.</code></pre>
<pre><code>## Warning in geom_label(aes(x = meanVOX_W4, y = 4), nudge_x = -0.15, label = round(meanVOX_W4, : All aesthetics have length 1, but the data has 386 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing a single
##   row.</code></pre>
<pre><code>## Warning: Removed 68 rows containing non-finite outside the scale range
## (`stat_density()`).</code></pre>
<pre><code>## Warning: Removed 69 rows containing non-finite outside the scale range
## (`stat_density()`).</code></pre>
<pre><code>## Warning in geom_label(aes(x = Mean_Dif_W2, y = 4), nudge_x = 0.15, label = round(Mean_Dif_W2, : All aesthetics have length 1, but the data has 386 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing a single
##   row.</code></pre>
<pre><code>## Warning: Removed 81 rows containing non-finite outside the scale range
## (`stat_density()`).</code></pre>
<pre><code>## Warning in geom_label(aes(x = Mean_Dif_W3, y = 4), nudge_x = 0.15, label = round(Mean_Dif_W3, : All aesthetics have length 1, but the data has 386 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing a single
##   row.</code></pre>
<pre><code>## Warning: Removed 122 rows containing non-finite outside the scale range
## (`stat_density()`).</code></pre>
<pre><code>## Warning in geom_label(aes(x = Mean_Dif_W4, y = 4), nudge_x = 0.15, label = round(Mean_Dif_W4, : All aesthetics have length 1, but the data has 386 rows.
## ℹ Please consider using `annotate()` or provide this layer with data containing a single
##   row.</code></pre>
<pre><code>## Warning: Removed 69 rows containing non-finite outside the scale range
## (`stat_density()`).</code></pre>
<pre class="r"><code>###TABLE A7 and TABLE A8###
Spaindata &lt;- Spaindata %&gt;%
  mutate(partyfull = case_when(
    partyfull == 0 ~ &quot;PSOE&quot;,
    partyfull == 1 ~ &quot;PP&quot;,
    partyfull== 2 ~ &quot;VOX&quot;,
    partyfull == 3 ~ &quot;Sumar&quot;,
    partyfull == 4 ~ &quot;Unidas Podemos&quot;,
    partyfull == 5 ~ &quot;Other&quot;,
    partyfull == 6 ~ &quot;Other&quot;,
    partyfull == 7 ~ &quot;Other&quot;,
    partyfull == 8 ~ &quot;Other&quot;,
    partyfull == 9 ~ &quot;Other&quot;,
    TRUE ~ as.factor(partyfull)))

Spaindata &lt;- Spaindata %&gt;%
  mutate(
    educ = ifelse(educ == 9999, NA, educ),
    degree = case_when(
      educ &lt; 4 ~ &quot;No degree&quot;,
      educ &gt;= 4 ~ &quot;Degree&quot;,
      TRUE ~ NA_character_
    ),
    degree = as.factor(degree)
  )


Spaindata &lt;- Spaindata %&gt;%
  mutate(sex = case_when(
    sex == 0 ~ &quot;Man&quot;,
    sex == 1 ~ &quot;Woman&quot;,
    sex == 2 ~ &quot;other&quot;,
    sex == 3 ~ &quot;other&quot;,
    sex == 9999 ~ &quot;other&quot;,
    TRUE ~ as.factor(sex)))

Spaindata &lt;- Spaindata %&gt;%
  mutate(sex_orient = case_when(
    sex_orient == 0 ~ &quot;Heterosexual&quot;,
    sex_orient == 1 ~ &quot;LGBTQ+&quot;,
    sex_orient == 2 ~ &quot;LGBTQ+&quot;,
    sex_orient == 3 ~ &quot;LGBTQ+&quot;,
    sex_orient == 4 ~ &quot;LGBTQ+&quot;,
    sex_orient == 5 ~ &quot;LGBTQ+&quot;,
    sex_orient == 9999 ~ &quot;LGBTQ+&quot;,
    TRUE ~ as.factor(sex_orient)))

summ_spain &lt;- Spaindata %&gt;%
  select(sex, age, degree, sex_orient, rile_self, partyfull)
datasummary_skim(summ_spain, type=&quot;categorical&quot;,  output=&#39;tables_appendix/TableA7.tex&#39;)</code></pre>
<pre class="r"><code>datasummary_skim(summ_spain, output=&#39;tables_appendix/TableA8.tex&#39;)</code></pre>
<pre><code>## Warning in datasummary_skim_numeric(data, output = output, fmt = fmt, histogram =
## histogram, : The histogram argument is only supported for (a) output types &quot;default&quot;,
## &quot;html&quot;, or &quot;kableExtra&quot;; (b) writing to file paths with extensions &quot;.html&quot;, &quot;.jpg&quot;, or
## &quot;.png&quot;; and (c) Rmarkdown or knitr documents compiled to PDF or HTML. Use
## `histogram=FALSE` to silence this warning.</code></pre>




</div>

<script>

// add bootstrap table styles to pandoc tables
function bootstrapStylePandocTables() {
  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
}
$(document).ready(function () {
  bootstrapStylePandocTables();
});


</script>

<!-- tabsets -->

<script>
$(document).ready(function () {
  window.buildTabsets("TOC");
});

$(document).ready(function () {
  $('.tabset-dropdown > .nav-tabs > li').click(function () {
    $(this).parent().toggleClass('nav-tabs-open');
  });
});
</script>

<!-- code folding -->


<!-- dynamically load mathjax for compatibility with self-contained -->
<script>
  (function () {
    var script = document.createElement("script");
    script.type = "text/javascript";
    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
    document.getElementsByTagName("head")[0].appendChild(script);
  })();
</script>

</body>
</html>
